Meitu, Inc.(1357) · AI Application Layer

Meitu: The Delivery Test After Imaging Subscriptions Hit Their Stride

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Meitu is an AI visual tools company that uses imaging apps as its entry point and monetizes through subscriptions and usage-based fees. The report rates it Hold. It packages frequent image-editing needs into lightweight, mass-market products, then converts traffic into cash through VIP subscriptions and usage-metered AI features. In 2025, revenue from continuing operations was RMB 3.859 billion, adjusted net profit attributable to shareholders was RMB 965 million, and gross margin was 73.6%.

The revenue mix is shifting from consumer photo retouching toward use cases with a stronger willingness to pay. In 2025, revenue from image, video, and design products reached RMB 2.954 billion, making it the clear core business. Advertising revenue was RMB 843 million, falling to second place and edging down for the full year. The report views advertising as a profit cushion rather than a growth engine. Subscriptions are the main source of profit: global paid subscribers exceeded 17.90 million in the first quarter of 2026, with additions mainly coming from high-ARPU (average revenue per user) regions; ARR (annual recurring revenue) from productivity apps for commercial image generation was about RMB 580 million, and paying users increased 52.9% year over year. The report judges that the core subscription base has already proven out, but usage-based charging efficiency, productivity ARR, and overseas paid penetration still need to be delivered quarter by quarter. On barriers, Meitu is strong in brand awareness, workflow packaging, and cross-product distribution. Its weakest point is the technology moat. It is farther from the high-quality profit pools of Adobe and Figma, and closer to the video budget pools of Canva and Kuaishou Kling.

On valuation, the current price is HK$4.64, and total market capitalization is about HK$21.1 billion. Reported P/E is distorted by items such as cryptocurrency disposal and Alibaba convertible bond one-off non-cash expenses. The report has more confidence in owner earnings, defined as operating cash flow minus capital expenditure, which is currently about 16 times. The report gives a conservative value range of HK$3.4 to HK$4.0, a neutral range of HK$4.5 to HK$6.0, and an optimistic range of HK$7.4 to HK$9.0. The current price is already close to the lower end of the neutral range but remains above the upper end of the conservative range, so it can be classified as Hold. The margin of safety is not obvious, and for new capital, a price below HK$4 is more attractive. There are two main risks: if ByteDance, Kling, Canva, Adobe, or even stronger general-purpose models turn image generation into a low-priced standard feature, vertical apps' pricing power will be compressed, and gross margin and valuation multiples could be hit at the same time, with maximum loss risk of about 50% to 60%; and AI computing power and cloud costs may rise with usage, so if usage-based fees fail to keep pace with consumption growth, gross margin will fall first. The report maintains Hold. The company is worth continuing to hold while waiting for evidence, but new capital does not need to rush into a heavy position.

The above is a summary of the report's views and does not constitute investment advice. The stock market involves risk; invest with caution.

Lead

Meitu is an AI visual-tools company that uses imaging apps as its entry point and monetizes through subscriptions and usage-based fees, with a total market cap of roughly HK$21.11 billion. Its core subscription business is already working and gross margin runs above 70%, but usage-based revenue, productivity ARR, and overseas paid penetration still have to prove themselves quarter by quarter, while rising compute costs test its pricing power. Rating Hold: at the current HK$4.64 the stock sits in an acceptable holding range, and below HK$4 it becomes more attractive for new money.

Full report

Prices in the article are as of publication; see the valuation band above for the live price.

Meta Information

  • Ticker: 01357.HK

  • Full company name: Meitu, Inc.

  • Current price and market cap: HK$4.64; total market cap roughly HK$21.11 billion, as of the 2026-06-12 close.

  • Currency: HKD; the share price, valuation, and price ranges are all stated in Hong Kong dollars. Operating data from the financials retains the RMB basis as disclosed by the company, with differences in reporting basis noted where needed.

  • Report date: 2026-06-14

  • Industry classification: AI software

  • One-line positioning: an AI visual-tools company that uses imaging apps as its entry point and monetizes through subscriptions and usage-based fees.

The scope of this report is as follows: the subject is the Hong Kong-listed Meitu, Inc., with a research base date of 2026-06-14; the topic comes from the editorial team's "AI supply chain" coverage review; the investment horizon spans both the next 12 months and 3–5 years; risk appetite is treated as "balanced." Price and valuation use the HKD basis, while the operating analysis prefers the annual reports, interim reports, announcements, and business updates that the company discloses in RMB.

Research Summary

Meitu is no longer the "photo-editing company that monetized through selfie phones" it once was, and it has not fully reached the position of high-stickiness enterprise software like Adobe or Figma either. The machine that actually makes it money today packs high-frequency image-editing demand into a product shell that is light enough, smooth enough, and mainstream enough, and then turns traffic into cash through VIP subscriptions and usage-based AI features. In the first half of 2025, the company posted revenue of RMB 1.821 billion, a gross margin of 73.6%, and adjusted net profit attributable to owners of RMB 467 million; for full-year 2025, on a continuing-operations basis, revenue was RMB 3.859 billion and adjusted net profit attributable to owners was RMB 965 million. More importantly, the company has moved "looking good" away from pure consumer photo editing and into e-commerce, design, video, and content production—scenarios that are more willing to pay. In Q1 2026, global paying subscription users rose further to 17.9 million, and productivity-application ARR was disclosed at roughly RMB 580 million, which shows this new path is not just slideware.

What the market trades today are two sharper questions, not "can a photo-editing app still survive." First, can vertical AI applications withstand the impact of general-purpose large models. Second, can Meitu turn "subscriptions" into a stable base and then make "usage-based fees" a second throttle. The company's own latest evidence is fairly clear: as of March 2026, user AI-credit consumption grew 59% versus December 2025, with Kaipai, RoboNeo, Meitu Design Studio, and Vmake growing even faster; in Q1 2026, imaging and design product revenue grew 34.3% year over year, and paying users of productivity applications grew 52.9% year over year. This shows users are increasingly treating AI as a tool rather than just trialing it. But the other side is just as clear: once AI capability becomes a platform default, the pricing power of vertical applications gets compressed immediately, and every upward revision in market optimism about general-model capability since last year has brought valuation pullback pressure on application-layer companies like Meitu.

The stock's past swings have basically followed a track where "the story runs faster than the business." When it listed in 2016, the capital markets saw a selfie-app company with enormous user scale, then found that 95.1% of its revenue in the first half of 2016 came from phone hardware. This mismatch of "internet-traffic asset, hardware-revenue structure" planted a valuation discount from the very beginning. In 2021, the company bought cryptocurrency and the share price spiked on thematic excitement; in 2024, liquidating crypto produced a one-time gain that lifted IFRS profit again. What truly changed the fundamentals was the sustained shift to subscriptions after 2020, profitability turning positive after 2022, the commercialization of AI-native products after 2023, and the 2025 partnership with Alibaba that connected channels, cloud, and e-commerce scenarios—not these noisy milestones. The market accordingly gave it a round of "AI-application re-rating" in 2025, with the share price touching a seven-year high on the day of the Alibaba partnership announcement; Google Finance shows a trailing-52-week high of HK$12.56. But by 2026-06-12 it had fallen back to HK$4.64, all but repricing the worry over "whether vertical applications can defend their value" all over again.

The most important bull-bear divergence right now looks like growth on the surface but is really about structure. Bulls look at the fact that imaging and design products have become the largest and fastest-growing segment, up 45.2% year over year in the first half of 2025 and up 41.6% for full-year 2025 on the core segment, with a rising share of new paying users coming from high-ARPU overseas regions, and with both the paying headcount and ARR of productivity tools accelerating—signs that the company is moving from "content beautification" into the more valuable budget pools of "commercial image output" and "video production." Bears focus on three other things: the advertising business has clearly slowed, growing only 5% in the first half of 2025 and even declining slightly for the full year versus 2024; AI compute and cloud costs, while not out of control for now, reached RMB 415 million in 2025, and if usage-based revenue grows faster than pricing optimization, gross margin will be continuously eroded; and one step further out, ByteDance's products, CapCut, Canva, Adobe, Kuaishou's Kling, and even stronger general-purpose models are all weakening the technical scarcity of vertical applications.

Putting fundamentals, competition, and valuation together, Meitu sits in a very typical and very hard-to-judge spot: the fundamentals are clearly better than a "theme stock," but the valuation has not yet become cheap enough to ignore execution risk. Google Finance gives a static P/E of 26.25x, while Yahoo Finance gives a trailing P/E of 33.42x—the two bases do not match. The root of the difference is that Meitu's 2025 IFRS profit was simultaneously affected by the high 2024 base from the crypto disposal, the one-time non-cash expense from the Alibaba convertible bond in 2025, and the reclassification between continuing and discontinued operations. Strip out this noise, and a rough owner-earnings estimate using 2025 operating cash flow minus capex implies the current share price corresponds to roughly 16x owner earnings, far less expensive than the headline P/E makes it look. The question is "whether it can prove this monetization structure for two more quarters," not "whether it is a bubble."

If I had to put one label on this company, I think it is closest to "a company in transition," and it has already passed through the ugliest stretch. It is no longer the old Meitu backstopped by hardware and traffic, but it has not yet become the typical SaaS with high retention, high seat penetration, and a high enterprise mix. It has found the entry point to a second growth curve, but the barrier still comes mainly from product understanding, brand, distribution, and the speed of scenario entry, not from a piece of underlying technology that others cannot replicate in the short term. The meaning of this label is clear: the company is worth studying seriously and worth continuing to track, but the research focus must be on subscription penetration, productivity ARR, usage-based monetization efficiency, overseas ARPU, and compute cost—not single-week price swings.

Vertical Development History

From Selfie Tool to Hardware Monetization

Meitu appeared early, seizing on the rigid demand among China's young mobile-internet users for "photo editing" and "selfies"—not AI. The company was founded in 2008 by Wu Zeyuan and Cai Wensheng. The annual report discloses that Wu Zeyuan began developing photo-editing software back in 2008; the prospectus shows that by October 2016, Meitu's apps had been activated on more than 1.1 billion unique devices worldwide, with monthly actives of roughly 456 million. What the product solved at first was simple: flatten Photoshop's complexity so ordinary people could edit a selfie into something "ready to post" in a few steps. This was Meitu's earliest product gift, and it determined why it could always package capability into mass-usable features faster than a pure-technology company.

The company's first large-scale commercialization relied on phones. The prospectus puts it bluntly: to meet user demand for high-quality selfies, Meitu launched a selfie-focused smartphone in 2013; in 2013, 2014, 2015, and the first half of 2016, smart-hardware revenue accounted for 59.7%, 87.8%, 89.9%, and 95.1% of total revenue respectively. This explains why many investors both loved and feared it at the IPO: it looked like an internet platform, but its revenue structure looked like a hardware company's. Hardware can amplify revenue, but it also brings inventory, channels, gross-margin volatility, and demand cycles—a structure that inherently cannot command the platform valuation it ideally wanted.

The IPO Narrative and Early Distortion

In December 2016, Meitu priced its Hong Kong listing at HK$8.50 per share, at the bottom of its offering range, raising roughly HK$4.88 billion, with an upper valuation cap of about US$4.5 billion during the roadshow. The story the company told the market at listing centered on enormous user scale, a strong brand, a social community, beauty e-commerce, and future diversified monetization, but what the market actually saw was continued losses and an excessive hardware share. In 2017, after its first annual report, the loss narrowed but the share price remained under pressure; that same year, MSCI removed Meitu from its indexes, dealing the stock another sentiment-driven blow. In those years, the market's deepest question about it came down to one line: are you a traffic company, or a company that sells selfie phones.

From Hardware Decline to the Subscription Inflection

The real turning point came around 2020. By then the company had clearly pulled back the hardware narrative and begun to put "subscriptions, in-app purchases, and advertising" back at the center of revenue. The 2020 results announcement stated explicitly that, despite pandemic disruption, revenue still grew 22.1% year over year to RMB 1.194 billion, and more importantly, premium subscription services and in-app purchases had become the second-largest monetization model after online advertising. In other words, Meitu finally began to get users to pay directly for the product itself, rather than relying on hardware spillover or pure ad traffic.

2022 was the second clear inflection. That year the company achieved its first full-year profit since the IPO. On an annual-report basis, revenue was RMB 2.085 billion, up 25.2% year over year; within that, VIP subscription revenue was RMB 782 million, up 57.4% year over year, and SaaS and related business was RMB 463 million, up a dramatic 1093.2% year over year. What this set of figures really shows is that "paid software finally worked at Meitu," not that "AI had already succeeded." That same year, total MAU was 243 million, still a large user base, showing it had found a more effective way to charge within its existing traffic pool rather than trading traffic for profit.

From AI Trial-and-Error to Core-Business Re-rating

Starting in 2023, Meitu entered a third stage: AI was no longer just a feature point but became the engine of a business re-rating. In 2023, revenue rose to RMB 2.696 billion and adjusted net profit was RMB 355 million, clearly above 2022's RMB 82 million. In 2024, the trend grew more solid: revenue was RMB 3.341 billion, up 23.9% year over year; within that, "imaging, video, and design products" revenue was RMB 2.086 billion, up 57.1% year over year, clearly rewriting the core business for the first time from the old "traffic + advertising" into "digital content tools + subscriptions." It was also in 2024 that the company invested more heavily in training large visual models, with R&D expenses rising to RMB 911 million, of which large-visual-model training cost was about RMB 140 million; that same year it disposed of all its cryptocurrency, bringing RMB 1.29 billion of cash inflow and a higher one-time profit base. The capital markets began to give it the new "AI application layer" label, but this round of relabeling was also mixed with a great deal of non-operating noise.

2025 brought this story into the stage of "from concept to delivery." In May, the company announced a strategic partnership with Alibaba across e-commerce, AI technology, and cloud capabilities, and issued a US$250 million three-year convertible bond to an Alibaba affiliate, with an initial conversion price of HK$6. By the 2025 annual report, the company's continuing-operations revenue was RMB 3.859 billion, up 28.8% year over year; adjusted net profit attributable to owners was RMB 965 million, up 64.7% year over year; paying subscription users exceeded 16.91 million, of which productivity-tool paying users were 2.16 million. The annual report also went into detail: as of the end of 2025, most of the company's products had integrated AI-agent capabilities, and the Agent feature of Meitu Design Studio rapidly became the main driver of billings growth from December 2025. The most important change at this stage is that AI is no longer just helping users edit photos but has begun to "do the work" for users in e-commerce, marketing, video scripts, product images, and similar scenarios.

Vertical Financial Review

Over the past few years, the driver of Meitu's revenue growth has shifted fundamentally twice. Before listing, growth came mainly from smart-hardware sales; in 2020–2022, the increment came from VIP subscriptions, in-app purchases, and SaaS; in 2023–2025, it concentrated further into imaging, video, and design products. The five-year financial summary in the 2024 annual report shows the company's revenue rising from RMB 1.194 billion in 2020 to RMB 3.341 billion in 2024, with adjusted net profit rising from RMB 49 million to RMB 589 million. In 2025, continuing-operations revenue rose further to RMB 3.859 billion and adjusted net profit attributable to owners rose to RMB 965 million. What this span really shows is that the company finally turned "massive users" into "sustained paying users."

Profit quality is better than the headline net profit. From 2022 to 2025, the company's cumulative operating cash flow was about RMB 2.65 billion, while cumulative net profit over the same period was about RMB 1.74 billion, so cash conversion is healthy. In 2025, operating cash flow was RMB 1.257 billion and capex was only about RMB 50 million, putting owner earnings roughly on the order of RMB 1.2 billion. The trouble comes mainly from IFRS noise: 2024 had a one-time gain from disposing of cryptocurrency, and 2025 had an approximately RMB 512 million one-time, non-cash IFRS 2 expense from the completion of the Alibaba convertible-bond issuance; meanwhile, fair-value changes in FVTPL long-term investments were a loss in 2024 and a gain in 2025, which also disturbs accounting profit. The conclusion is simple: looking at Meitu through the headline P/E will be misled by accounting items. Looking at cash flow and adjusted profit is closer to the real operations.

The balance sheet has actually grown steadier over these years. At the end of 2025, cash and equivalents were RMB 3.515 billion, and cash and other current financial resources totaled RMB 4.937 billion; total borrowings were only RMB 20 million, and the gearing ratio in the leverage measure was just 0.35%. Even counting the RMB 1.407 billion convertible bond as long-term debt, the company faces little funding pressure. More worth watching is the structural change: by the end of 2025, inventory had fallen from RMB 73.46 million at the end of 2024 to RMB 7.31 million, while contract liabilities rose from RMB 655 million to RMB 849 million. Read together, these two items mean the company is exiting low-quality supply-chain business and strengthening subscription and digital-service revenue that is more prepaid in nature.

Share Price and Valuation History

Meitu's price history is almost a history of "the market constantly rewriting its understanding." Early on, the market gave it a compromise valuation of "traffic-company vision, hardware-company reality"; after the 2017 MSCI event, the share price bore the pressure of passive money exiting. In 2021, the company bought about US$40 million of cryptocurrency and the share price jumped as much as 14.4% intraday, but this was more thematic trading than a fundamental inflection. In 2024, the company disposed of all its cryptocurrency, again making IFRS profit look unusually pretty. The 2025 Alibaba partnership and convertible-bond transaction made the market willing for the first time to re-rate it as an "AI-application monetization platform," and the share price surged to a seven-year high. By mid-2026, the market returned to calm: Google Finance shows a 52-week high of HK$12.56 and a low of HK$4.10, against the current HK$4.64. The high volatility is because the market has not decided whether to price it as a growth application, a light SaaS, or a theme stock—not because the company turns upside down every quarter.

The current headline valuation has differences in basis. Google Finance shows Meitu's static P/E as 26.25x on 2026-06-12, while Yahoo Finance gives a trailing P/E of 33.42x on the same day; what lies behind this is a difference in basis, not a market distortion. In the 2025 annual report, the company had both continuing/discontinued reclassification and one-time non-cash expenses and investment fair-value swings. Strip those out, and a rough owner-earnings estimate using 2025 figures implies the current share price corresponds to roughly 16x owner earnings, a valuation markedly below the headline P/E. For this company, whether the valuation midpoint can lift does not depend on "whether the market loves AI more," but on whether the paying intensity of productivity tools can hold steady across several quarters.

Business Model and Industry Analysis

Revenue Structure and Cost Leverage

Meitu's current revenue engine is already fairly clear. In 2025, on a continuing-operations basis, imaging, video, and design product revenue was RMB 2.954 billion, the absolute core; advertising revenue was RMB 843 million, already relegated to second place; other revenue was RMB 62 million, mostly non-core tail business. By Q1 2026, the company broke it down further in its official business update: imaging and design product revenue was RMB 852 million, up 34.3% year over year; within that, casual-scenario applications contributed 82% and productivity applications contributed about 18%, with the latter's revenue growing faster, at 45.4%. This means Meitu still rests on mass users as its base, but its profit elasticity is pushing upward from the more willing-to-pay productivity crowd.

The profit source of this engine is mainly subscriptions. In the first half of 2025, paying subscription users were about 15.4 million and the subscription penetration rate was 5.5%; by the end of 2025, paying subscription users exceeded 16.91 million; by March 2026, global paying subscription users further exceeded 17.9 million. More interesting is where the increment came from. The company's 2025 annual report states that the bulk of new paying subscription users in 2025 came from high-ARPU regions such as Europe, the Americas, and East Asia; in Q1 2026, paying users of productivity applications again grew 52.9% year over year, reaching 2.34 million. In other words, Meitu is migrating toward regions and scenarios that can pay more, rather than hard-pulling subscription headcount with rock-bottom unit prices.

The cost structure means this company has operating leverage but also two very hard ceilings. In 2025, the largest cost item was the revenue-share fees paid to payment channels such as Apple and Google, at RMB 618 million; the second key cost was compute, bandwidth, storage, and API-related costs of RMB 415 million, of which nearly half corresponds to inference compute. In the first half of 2025, the company also gave more intuitive data: payment-channel revenue share was RMB 281 million, up 45.1% year over year, while compute and cloud-related costs were RMB 107 million, up 15.0% year over year, clearly slower than paying-user growth. This means that, so far, the revenue increment from user growth runs faster than compute costs, and operating leverage is positive. But this positive leverage has a precondition: rising AI usage must be accompanied by simultaneous increases in pricing, conversion, and retention. As soon as compute usage grows faster than charging capability, gross margin will turn down.

Another improvement that often gets overlooked at Meitu is actively discarding low-quality revenue. In 2025, the company terminated the cosmetics supply-chain management business that dominated its former "beauty-industry solutions," with related revenue falling from RMB 345 million in 2024 to RMB 33 million in 2025, while the remaining AI skin-analysis SaaS was reclassified into "other." This will worsen statement comparability in the short run but is right in the long run, because the supply-chain business devours inventory, has low gross margins, and does not fit the "productivity and globalization" main line. After exiting this block, the company's revenue is lighter, and inventory fell sharply with it. Many investors who see revenue shrink mistake it for a growth problem; in reality, it is more like deliberate slimming.

Moat and Governance

Meitu's moat truly holds in three ways.

The first is brand and product mindshare. The company's prospectus once disclosed that an iResearch survey in June 2016 showed about 53.5% of photos on China's mainstream social networks had been processed by Meitu's apps; by the first half of 2025, the company still cited QuestMobile data stating that the Meitu app ranked first by MAU in China's mobile image-editing market. For a vertical tool to still hold the "default photo-editing entry" a decade later is itself a barrier. It is not unassailable, but it is certainly not something "any model with a wrapper" can take away.

The second is product understanding and workflow-packaging ability. Meitu's most valuable trait is knowing what users want to turn a given photo, video, or product asset into, rather than possessing a unique large model. It packs underlying models into clearly defined scenarios such as AI Removal, AI product images, smart editing, AI voiceover video, and batch image output. By the end of 2025, the company had rolled AI-agent capabilities across most product lines; in Q1 2026, AI-credit consumption rose 59% versus December 2025, with Kaipai, RoboNeo, and Meitu Design Studio growing faster. This barrier lies in scenario abstraction, interaction design, and aesthetic tuning, not in the underlying algorithms. It is shallower than a technology barrier but deeper than a pure-traffic barrier.

The third is the cross-product distribution network. Meitu is not just one app but a product matrix covering casual photo editing, video beautification, e-commerce assets, AI design, and AI video production. It can funnel the audiences accumulated in Meitu, BeautyCam, and Wink toward productivity tools such as Meitu Design Studio, Kaipai, WHEE, and RoboNeo. This ability to "screen heavy paying users out of light users" is a more valuable asset than a single hit product. The 52.9% year-over-year growth in productivity-application paying users in Q1 2026 reflects this funneling mechanism at work.

Its weakest link is the technology moat. Meitu itself is building vertical models and fine-tuning open-source models, and the 2025 annual report notes that third-party API costs remained at a mid-single-digit share of total costs, showing it does not fully depend on external closed-source models. The issue is that what is easiest to compress in this industry has never been "whether you can expose model capabilities," but "whether others can do the same thing at lower cost, with more traffic, across broader scenarios." This is exactly where Adobe, Canva, CapCut, Kuaishou's Kling, and more platform-style AI applications in the future will keep applying pressure. The moat exists, but it is not strong enough to ignore industry evolution.

On governance, Meitu has strengths as well as sources of discount. The strength is that founder Wu Zeyuan is still chairman and CEO, so business decisions and product judgment have not been outsourced to professional managers; in 2026 the company also launched a buyback plan of up to HK$300 million, and after the 2025 annual report proposed a final dividend of HK$0.05 per share, signaling that management is starting to take shareholder returns more seriously. The risks are threefold: first, the company uses a Cayman structure and controls its domestic business through contractual arrangements, so VIE risk has not disappeared; second, the Alibaba convertible bond carries director-nomination rights, allowing it to nominate one non-executive director as long as its holding size or shareholding ratio meets the conditions; third, Cai Wensheng remains a major shareholder, with the 2024 annual report showing his interest at about 23.45%, so the company remains a typical founder-led structure. Companies like this often decide quickly and inherently carry a governance discount.

Industry Structure and Cyclical Position

Meitu sits at the intersection of three industries rather than a single one: creative software, content-platform tools, and AI applications. This position has upsides and downsides. The upside is that the demand side is large enough—photo editing, design, video, e-commerce assets, and marketing content are long-standing high-frequency tasks; AI merely replaces "manual creation" with "semi-automatic generation" without creating demand out of thin air. The downside is that comparable peers are very fragmented: Adobe, Figma, and Canva look more like SaaS; CapCut and Kuaishou's Kling look more like platform extensions; Meitu is a light SaaS that grew out of consumer-grade imaging tools. As a result it is rarely fully understood by the market, but it also struggles to command the stable valuation midpoint of a pure-software leader.

The real sources of industry growth are fairly clear. First is rising subscription penetration, turning a small portion of originally free users into long-term paying users; second is AI bringing people who "can't make images, can't edit video, can't write scripts" to the table, expanding the paying pool; third is the persistent need from e-commerce, short video, and cross-border sellers for lower-cost visual assets; fourth is globalization, especially the natural amplifier of high-ARPU overseas markets. Canva disclosed 260 million monthly actives and US$3.5 billion in revenue in 2025, with ARR exceeding US$3 billion, essentially riding the same few winds. Meitu's difference from Canva is that it entered from mobile imaging first and then moved toward productivity; Canva grew out of templated design and team collaboration.

The most obvious cycles in this industry are the technology-iteration cycle, the advertising cycle, and the traffic-distribution cycle—not the inventory cycle of manufacturing. For Meitu, the variables that benefit most in an upcycle are paying-user count, penetration, ARPU, and usage-based consumption; the most fragile variables in a downcycle are advertising demand, model costs, and the App Store revenue share. Full-year 2025 advertising revenue declined slightly versus 2024, which already reminds the market of one thing: advertising can no longer be seen as a growth engine; it is more like a profit cushion. The real cyclical judgment has to watch the growth of imaging and design products, productivity ARR, and the conversion efficiency of AI credits.

On regulation, Meitu is not as heavily regulated as finance, gaming, or healthcare, but it is not light either. The annual report lists China's requirements on personal-information protection, telecom and internet-user-information protection, and online protection of children's personal information. For a company spanning images, video, cloud processing, and overseas users, this means content security, cross-border data transfer, privacy compliance, and generated-content compliance all cannot go wrong. Geopolitics affects it more indirectly, concentrated on the App Store ecosystem, overseas ad placement, cloud-service supply, and the pace of global expansion. The Alibaba partnership eases uncertainty over cloud and e-commerce channels on one hand, while making the market more attentive on the other to whether ecosystem binding will evolve into a new dependency.

Horizontal Competitor Analysis

Competitive Landscape and Niche

This is a track with "ample competitors but no perfect comparable." Compare Meitu with Adobe and you find the unit price and enterprise attributes are too far apart; compare it with Kuaishou's Kling and you find different platform attributes and traffic entry points; compare it with Wondershare and the business model is closer, but brand strength and domestic traffic base are not in the same league. The real situation is that Meitu stands at the intersection of consumer imaging applications, AI design tools, and lightweight productivity SaaS. It is neither a first-tier enterprise-software vendor nor a platform ad company; it is more like "a niche platform that grew from the consumer side and is moving toward the enterprise budget pool."

I therefore prefer to view comparables in three groups. The first is high-end global software companies with strong seats and deep workflows, represented by Adobe and Figma; the second is templated, collaborative, AI-enabled visual design platforms, represented by Canva; the third is players carrying platform traffic and video ecosystems into AIGC, represented by Kuaishou's Kling and ByteDance's products. What Meitu really competes for is part of the profit pool of the third and second groups: the budgets in the hands of e-commerce sellers, content creators, small and medium merchants, and lightweight professional users. It is further from Adobe's profit pool and closer to Kuaishou's and Canva's budget pools.

A Group Portrait Comparison

Adobe represents the endgame form of mature creative software: a vast subscription revenue base, deep workflows, strong enterprise-customer binding, and extremely high cash generation. Adobe's fiscal Q1 2026 revenue was US$6.40 billion, up 12% year over year; in June, with fiscal Q2, it also raised full-year revenue guidance to US$26.5 billion to US$26.6 billion, with AI-first ARR exceeding US$500 million. But the market's worry about it is sharp too: AI lowers the barrier to creative tools, and Adobe no longer enjoys the almost natural high valuation it once did—Google Finance shows its P/E at about 11.89x, and the share price has fallen to near an 8-year low. Comparing it with Meitu shows two things: first, even the leader in creative software gets repriced by AI; second, as long as workflows are deep enough, platform-grade software can still turn AI into a paid upgrade rather than a free giveaway. Meitu is still some distance from the second point, but it has already felt the pressure of the first.

Figma is a more instructive SaaS comparison. It builds a collaborative design and product-development platform, not photo editing. In Q4 2025, revenue was US$303.8 million, up 40% year over year, and net revenue retention rose to 136%; fiscal 2025 operating cash flow was US$250.7 million. Figma's most important reference for Meitu lies in revenue quality, not product form: when a design tool truly enters team collaboration and organizational workflows, growth can be steadier, retention higher, and cash flow significantly better than consumer-style subscriptions. Meitu has not reached this point yet; it is more "individual creators and small merchants pay first," with enterprise seat penetration only a distant prospect. Precisely for this reason, Meitu's growth narrative is sexier than Figma's, but its revenue quality is more fragile.

Canva is Meitu's closest strategic mirror image. Its monthly actives reached 260 million in 2025, with revenue of US$3.5 billion, and mid-2025 official disclosure put ARR above US$3 billion. What did Canva become? It blended design templates, team collaboration, brand assets, AI generation, and office documents into a visual workbench that "everyone can use." Users choose it because it shortens the path to "a usable finished product" to the minimum, not because it is the most professional. What Meitu did on mobile photo editing over the past decade-plus was, in fact, the same thing. The fork between the two companies is that Canva leans more toward teams and organizations while Meitu leans more toward individuals and merchants; Canva's collaboration attribute is stronger, while Meitu's accumulation in aesthetics and imaging processing is deeper. If Meitu can truly turn its productivity tools into a "light Canva," the valuation midpoint will lift markedly. If it cannot, it will stay long-term in the valuation range of "a high-quality application company."

Kuaishou's Kling is the most concrete AI-video rival. Kuaishou disclosed in Q4 2025 that Kling AI's single-quarter revenue reached RMB 340 million, and its single-month revenue in December 2025 exceeded US$20 million, corresponding to ARR of US$240 million. Kling's strength lies not only in model capability but in the short-video platform, marketing customers, and content-distribution scenarios standing behind it. For Meitu, this kind of rival is the hardest to fight, because its product capability and commercial entry are bound together. Meitu's advantage lies in being lightweight, cross-platform, able to do both images and video, with an aesthetic style better suited to consumer imaging and e-commerce assets; Kling's advantage lies in the explosive power of video generation, content-distribution linkage, and a stronger platform budget pool. As long as AI video keeps heating up, the budget contest between Kaipai, Wink, and Kling will become increasingly head-on.

Wondershare is a comparison closer to the "global creative-software company" path. It is a software vendor going global with tools such as Filmora, PDF, and mind mapping. Public secondary-market information shows Wondershare's 2025 revenue at about RMB 1.53 billion, with the loss narrowing, AI-native application annual revenue exceeding RMB 130 million, and AI invocation volume growing rapidly. The significance of this comparison is twofold: first, going global with creative tools is itself still viable; second, without a strong platform and brand mindshare as a foundation, AI commercialization easily falls into the trap of "features but no pricing." Meitu is stronger than it in user brand and imaging mindshare; weaker in that it is more easily treated by the market as a traffic stock rather than a software stock. The data here is less comparable than the companies above, so I treat it only as a path reference, not a strict valuation anchor.

Current Fundamentals and the Bull-Bear Divergence

Looking only at the past year's public disclosures, Meitu's operating state is in fact quite solid. In 2024, the company's revenue was RMB 3.341 billion, with imaging, video, and design product revenue of RMB 2.086 billion, up 57.1% year over year, and adjusted net profit of RMB 589 million; in the first half of 2025, revenue was RMB 1.821 billion, adjusted net profit attributable to owners was RMB 467 million, and gross margin was pulled up to 73.6%; for full-year 2025, continuing-operations revenue was RMB 3.859 billion and adjusted net profit attributable to owners was RMB 965 million; in Q1 2026, the company again updated 17.9 million paying subscription users, RMB 580 million productivity ARR, and RMB 852 million in imaging and design product revenue. Read together, this string of data does not look like a company "riding the AI concept," but more like a company actually putting AI into scenarios that can really charge.

The bulls' strongest evidence is fourfold. First, the core business grows far faster than total revenue, showing the structural improvement is real, not an accounting trick. Second, paying subscription users keep hitting record highs, and productivity users grow faster, showing the migration of consumer traffic to enterprise-type scenarios is not empty talk. Third, the growth of compute and cloud-related costs is temporarily below the growth of paying users, and gross margin is still climbing. Fourth, cash flow and the balance sheet are strong; in 2025, cash and other current financial resources approached RMB 4.94 billion, and the company also has an HK$300 million buyback plan, giving it ample financial latitude.

The bears' strongest evidence is also fourfold. First, the advertising business has slowed, with full-year 2025 advertising revenue declining slightly versus 2024, so the second growth curve must add increment soon. Second, growth in AI-credit consumption is good, but it also means inference costs will keep climbing—2025 compute, bandwidth, storage, and API costs already reached RMB 415 million. Third, the Alibaba partnership is both a channel positive and a dilution-and-governance variable. Fourth, industry competition is brutal; since 2025 the market has repeatedly hammered such stocks with the worry that "general-purpose models may replace vertical applications," and Meitu's price pullback from its one-year high is a textbook expression of that worry.

Valuation, Risk, and Catalysts

Valuation Analysis

First see through the cash flow. In 2023–2025, the company's operating cash flow was RMB 413 million, RMB 746 million, and RMB 1.257 billion respectively; over the same period, capex was about RMB 52 million, RMB 53 million, and RMB 50 million respectively. That is, over the past three years owner earnings rose roughly from RMB 361 million to RMB 1.207 billion. On a rough 2025 owner-earnings basis, the current share price corresponds to an owner-earnings multiple of about 16x; looking at 2025 adjusted net profit attributable to owners, the multiple is about 20x; looking at headline trailing P/E, Google Finance gives 26.25x and Yahoo Finance gives 33.42x. Three sets of valuations give three feelings: on owner earnings it does not look like a bubble; on adjusted profit the valuation looks neutral; on headline P/E it looks not cheap. I trust the first and second sets more, because this company's 2024–2025 accounting profit was too obviously disturbed by one-time items.

On historical position, the current price is at least not expensive on a "past-year" basis. Google Finance shows the 2026-06-12 share price of HK$4.64, close to the 52-week low of HK$4.10 and far from the 52-week high of HK$12.56; pulled back to the listing starting point, it also remains below the 2016 IPO price of HK$8.50. This shows the market has already disgorged a large stretch of AI optimism, and that the current price is not pricing in very aggressive long-term success. It is certainly not deeply undervalued, but compared with the market's most euphoric moment in mid-2025, its safety is much higher.

Horizontally, Meitu's pricing is sandwiched between two types of company. Compared with mature platforms like Adobe and Kuaishou, Meitu's headline P/E is higher; but compared with more standard design SaaS like Figma and Canva, it is clearly cheaper, because its revenue quality has not reached that level. Adobe's current static P/E is about 11.89x, Kuaishou's about 9.89x; Figma's revenue quality is better, but its GAAP profit is more distorted by the large post-IPO stock-based-compensation expense. The market's compromise pricing for Meitu largely expresses this judgment: you are no longer a theme stock, but you are not yet a high-certainty SaaS either.

The table below is the three-tier absolute-valuation framework I use. Its purpose is to discuss the delivery speed of "subscription + usage-based fees," gross-margin changes, and valuation multiples within the same framework—not to provide investment advice. Here I prefer the owner-earnings basis over headline net profit. The RMB-to-HKD conversion used in the calculation is a rough estimate, so the ranges are better treated as price bands than as targets accurate to the decimal. The core data relied upon comes from the company's 2025 annual report, the Q1 2026 business update, and the current share price.

Dimension Conservative Neutral Optimistic
Revenue and margin assumptions 2026 core-business growth drops to low double digits, advertising stays weak, gross margin dragged by compute 2026 core business holds mid-double-digit growth, productivity tools stay high-growth, gross margin broadly stable 2026 productivity tools and usage-based fees ramp, overseas high ARPU keeps adding, gross margin lifts again
Cash-flow assumption owner earnings about RMB 0.95–1.05 billion owner earnings about RMB 1.10–1.25 billion owner earnings about RMB 1.35–1.50 billion
Valuation-multiple assumption 15–16x owner earnings 17–20x owner earnings 23–25x owner earnings
Key catalysts advertising stops falling, compute-cost share stable, buyback executed productivity ARR accelerates for two straight quarters, overseas paid penetration rises Agent-ized products make usage-based fees a second curve, market re-rates it as light SaaS
Key risks advertising keeps weakening, AI usage price hikes lag costs subscription growth slows, enterprise progress lags expectations price war among general models and platform products, double kill of valuation and profit
Implied return range about -27% to -14% about -3% to +29% about +60% to +94%
Permanent-loss risk trigger: core-business growth drops to single digits and gross margin keeps falling trigger: productivity revenue rises but cash flow does not follow trigger: high industry growth holds but Meitu is replaced by a larger platform as a "feature layer"

Under this framework, I place the conservative value band at HK$3.4–4.0, the neutral value band at HK$4.5–6.0, and the optimistic value band at HK$7.4–9.0. The current price of HK$4.64 is already close to the lower edge of the neutral range but still above the upper edge of the conservative value band, meaning it is no longer significantly overvalued but does not yet offer a full margin of safety. It is more in the position of "you can hold it and wait for the answer, but don't treat it as a cigar butt."

My conclusion on the margin-of-safety review is "not obvious." The reasons are fourfold. First, the current price is a premium, not a discount, relative to the conservative scenario. Second, the most fragile assumption in the neutral scenario is "compute costs won't swallow the incremental profit," not revenue growth; if you take 70% of the owner-earnings assumption in the neutral scenario, the valuation falls back to around HK$3.1–3.7. Third, if earnings grow at zero over the next three years, shareholder returns will come mainly from the roughly 2% dividend and the slight share shrink from buybacks, and the return is not generous. Fourth, this looks much like a company where "a good business is taking shape, but the price has not become cheap enough to buy unconditionally." For new money, I lean toward waiting for a lower price, or waiting for the next results to further confirm "usage-based fees + overseas ARPU."

Risk Analysis

The business risk that truly warrants vigilance is that pricing power gets taken away, not the empty line of "intensifying competition." I rate the probability medium and the impact high. The trigger path is concrete: if ByteDance, Kuaishou's Kling, Canva, Adobe, or a stronger general-purpose model turns capabilities such as product images, short video, voiceover video, and image generation into low-priced or even free defaults, Meitu will be forced to make concessions on conversion and ARPU. At that point, paying-user count may still grow, but revenue elasticity and gross margin will be pinned down, and the capital markets will re-rate it from "AI-application platform" to "feature-type tool." For this risk, what to watch most is whether the growth of productivity ARR, paid penetration, and imaging and design product revenue declines for two straight quarters.

The second risk is compute-cost erosion. Probability medium, impact medium-high. The company explicitly disclosed in 2025 that compute, bandwidth, storage, and API costs were RMB 415 million, and the compute and cloud-related expenses recognized as cost of sales were RMB 232 million, nearly half from inference compute; in Q1 2026, AI-credit consumption again grew 59% versus December 2025. The transmission path of this risk is "the more usage, the faster the bill grows"—once usage-based fees and conversion improvements fail to keep up with usage growth, gross margin falls first, then profit margin. By that point, the market will not wait for the income statement to deteriorate before reacting; the valuation will shrink first. The best indicators to watch are the ratio of compute and cloud-related costs to imaging and design revenue, and whether gross margin falls below 70% for two consecutive periods.

The third risk is governance and ecosystem binding. Probability medium, impact medium. The Alibaba partnership gave Meitu e-commerce scenarios, cloud resources, and potential distribution help, but it also brought the convertible bond, potential dilution, and director-nomination rights. If the partnership goes smoothly, the market will see it as "backed by an ecosystem"; if the partnership advances slowly and the commercialization effect is not obvious, the market will in turn question whether the convertible bond bought enough strategic value. This kind of risk will not hit revenue first but will hit market expectations first. Hard indicators to observe are few, mainly two things: first, whether the Design Studio's commercialization in e-commerce scenarios keeps expanding; second, whether the Alibaba-related cooperation has gone from "signing" and "integration" to a sustained increment reflected in revenue and paying users.

The fourth risk comes from statement comparability and valuation misjudgment. Probability high, impact medium. Over the past two years Meitu has had multiple basis disturbances such as crypto disposal, convertible-bond IFRS 2 expense, continuing/discontinued reclassification, and FVTPL fair-value swings in long-term investments. They do not necessarily change the business, but they change headline profit. If investors judge by static P/E, they easily mistake cheap for expensive when it is cheap, and expensive for cheap when it is dangerous. The best solution for this risk is to consistently look at the same set of owner-earnings and adjusted-profit bases, rather than hunting for "a more accurate P/E."

Catalysts and Tracking Indicators

The most weighty positive catalysts over the next year are three things. First, productivity-application ARR keeps accelerating, ideally pushing from the current RMB 580 million toward RMB 800 million to RMB 1 billion. Second, usage-based fees not only grow AI-credit consumption but also grow revenue and gross margin in step, proving that "subscription + usage" is not a high-cost boom. Third, new paying users from high-ARPU overseas regions continue to be the main force, showing globalization relies on products that truly sell rather than low-price buying of users. The sustained execution of buybacks and the implementation of Alibaba e-commerce scenarios will also provide marginal positives.

Negative catalysts are equally concentrated. First, the advertising business keeps declining, showing the base business no longer provides a cushion. Second, core-business growth looks like it is still there, but gross margin starts to turn down. Third, the market again treats general-model upgrades as a negative for vertical applications, and growth-stock valuations fall collectively. Fourth, if the company can only prove "usage is rising" but cannot prove "cash is rising" for two consecutive disclosure cycles, this round of re-rating will stop.

The table below is the dashboard I think is truly worth watching. The data cited is the company's most recent disclosure, and the warning thresholds are research discipline, not company guidance.

Indicator Latest value Normal state Warning threshold
Global paying subscription users 17.9 million, Q1 2026 sustained year-over-year growth above 25% below 15% for two consecutive update periods
Productivity-application ARR about RMB 580 million, Q1 2026 sustained year-over-year growth above 40% falls below 25%
Imaging and design product revenue growth Q1 2026 +34.3% year over year mid double digits or above falls below 15%
Overseas MAU 98 million in H1 2025, over 100 million in 2025 steady growth stagnates or declines for two consecutive periods
Gross margin 73.6% in H1 2025, 73.6% continuing operations in 2025 70%–75% below 70%
Compute and cloud-related costs about RMB 232 million cost of sales in 2025 growth below core revenue growth persistently above core revenue
Advertising revenue H1 2025 +5.0%, full-year 2025 slightly below 2024 stable or slight growth clear decline for two consecutive periods
Contract liabilities RMB 849 million at end-2025 grows in step clear pullback
Cash and current financial resources RMB 4.937 billion at end-2025 stays ample falls below RMB 3 billion with no explanation

Among these indicators, only three are truly critical: paying users, productivity ARR, and gross margin. The first two decide whether it can still grow, and the third decides whether that growth is worth anything. Advertising, overseas MAU, and contract liabilities are more like verification items. Cash and buybacks decide whether the company can prop up a floor itself when market sentiment is at its worst.

Key Data Table

The table below sums up the core data I cite repeatedly in the main text, for easier side-by-side reading. 2025 revenue has a comparable-basis difference due to the discontinued-operations reclassification, noted in the table's footnotes.

Indicator 2023 2024 2025
Revenue RMB 2.696 billion RMB 3.341 billion RMB 3.859 billion†
Adjusted net profit attributable to owners RMB 355 million RMB 589 million RMB 965 million
Operating cash flow RMB 413 million RMB 746 million RMB 1.257 billion
Capex RMB 52 million RMB 53 million RMB 50 million
Cash and equivalents RMB 641 million RMB 1.301 billion RMB 3.515 billion
Cash and other current financial resources RMB 2.999 billion RMB 4.937 billion

† 2025 is on a continuing-operations basis; the company's disclosed comparable continuing-operations revenue for 2024 was RMB 2.996 billion, putting the 2025 year-over-year growth on that basis at 28.8%.

Looking at a few key reference companies' public trading and operating snapshots makes Meitu's position more intuitive. The table below shows only the most core market snapshots and does not try to force different business models onto one ruler.

Company Current price Market cap Focus
Meitu HK$4.64 HK$21.11 billion whether subscription + usage-based fees can keep delivering
Adobe US$204.02 US$82.46 billion whether AI compresses traditional creative-software valuation
Kuaishou around HK$45.88 around HK$199.0 billion the pace of Kling AI's video commercialization
Wondershare around CN¥52.26 around CN¥10.11 billion the AI-monetization quality of global creative software

What this set of numbers reveals is not as simple as "who is expensive and who is cheap." Adobe and Kuaishou are both larger and steadier, and both bear valuation pullbacks because "AI is both an opportunity and a threat"; Wondershare is smaller, showing creative software is not a naturally high-valuation track. The reason Meitu can still maintain an above-average growth valuation is that its operating delivery over the past two years has indeed been decent, not because the market is generous. If it stops delivering, it will quickly fall back to the pricing logic of a tool stock.

Horizontal-Vertical Synthesis

The Bull and Bear Cases

Bull case:

  • Core imaging and design products have become the largest and fastest revenue engine, up 45.2% year over year in the first half of 2025 and up 41.6% for full-year 2025 on a continuing-operations basis.

  • Paying subscription users rose from about 15.4 million in mid-2025 to over 17.9 million in Q1 2026, and growth is still continuing.

  • Productivity tools have begun to show second-curve characteristics, with ARR of about RMB 580 million in Q1 2026 and paying-user growth of 52.9%.

  • Cash flow and the balance sheet are strong, with 2025 operating cash flow of RMB 1.257 billion and current financial resources of RMB 4.937 billion, and the company has already launched an HK$300 million buyback plan.

  • The current price has pulled back sharply from its 52-week high, the headline valuation is distorted by one-time items, and the real owner-earnings multiple is much lower than the apparent P/E.

Bear case:

  • The advertising business has shown fatigue, declining slightly for full-year 2025 versus 2024, indicating the old base's support for growth is weakening.

  • AI usage is rapidly amplifying, and compute and cloud-related costs will follow upward over the long run, with 2025 total related costs already reaching RMB 415 million.

  • The moat leans more toward product and scenarios than irreplaceable underlying technology, and it lacks an overwhelming advantage against Adobe, Canva, Kuaishou's Kling, and general-purpose models.

  • The reporting basis is complex and the headline profit easily misleads valuation judgment, so investors who look only at static P/E easily get it wrong.

  • The Alibaba partnership brings channel and cloud support but also introduces the convertible bond, potential dilution, and governance variables.

Pre-mortem

If this investment loses 50% three years from now, I think the two most likely scripts are as follows.

The first script plays out on the competition side. Around 2027, platform-style products and general-purpose models turn product images, short-video scripts, voiceover video, and image generation into lower-priced "platform features," and CapCut, Kling, Canva, and Adobe Express together compress the willingness of light-to-medium creators to pay. To defend its users, Meitu has to stuff more and more AI features into the existing subscription package, usage-based-fee growth slows, gross margin falls from the current 73% area back to around 65%, and owner earnings stall at RMB 700 million to RMB 800 million. The market simultaneously compresses the valuation from 17–20x owner earnings to 10–12x, and the share price falls to around HK$2, nearly halving from the current price. The key to this script is that per-user value is taken by the platform, not that users disappear.

The second script plays out on the cost and execution side. In 2026–2028, AI-credit consumption keeps surging, but the company fails to smoothly convert usage into revenue, or the revenue it does convert is insufficient to cover inference cost, payment-channel cuts, and continued R&D. On the surface, paying users and usage are both still high, but the operating cash flow in the statements no longer improves in step; advertising struggles to recover, and the Alibaba partnership fails to materially open up e-commerce monetization. The market finally admits that "this is a company with decent growth but limited pricing power" and assigns a lower software multiple. This script may not crash the company's fundamentals, but it is enough to make the stock fall a lot first.

Final Research Conclusion

Along the way, Meitu has truly proven two abilities. First, it has always deeply understood how ordinary users want to make "photos, videos, and product assets" look better, and it has always been better than most technology companies at packaging complex capabilities into simple, smooth, chargeable products. Second, it finally turned this product understanding into real money after 2020: subscription headcount keeps growing, imaging and design revenue has become the main force, and cash flow looks more and more like a mature software company's than an internet company's with a traffic illusion. Its past success owes something to the era's dividend and something to management's long-term grasp of user needs. Today, the era's dividend is still here and management's ability is still here, but the competitive barrier has fallen, and you can no longer infer "Meitu will surely stay strong" from "Meitu was once strong."

Horizontally, Meitu's most real advantage is that it stands between consumer imaging and light productivity workflows, with both large-scale user mindshare and proven partial software pricing ability. Its most real weakness is that this advantage has not yet gone deep into enterprise workflows—retention, seat expansion, and team-collaboration attributes are all still insufficient. The market's misjudgment of it was, in the past, treating it as a traffic stock inside a hardware shell, and may now be overtreating it as "a fragile application layer that models could eat at any time." I think both views are incomplete: Meitu is neither a pure theme nor a worry-free software platform. It is more like a company turning from a "traffic-aesthetics tool" into an "AI visual-production tool," and this transformation is already half complete.

At today's price, my conclusion is: the company is worth continuing to hold while waiting for the answer, and new money need not rush to load up. The reason is simple. The current price is much safer than the 2025 high, and the valuation on an owner-earnings basis is not high; yet it has not fallen low enough to ignore competition, compute, and execution risk. The most critical variables over the next year are productivity ARR, overseas high-ARPU paying users, and the revenue conversion of AI credits; over the next three years, the most critical variable is whether "subscription + usage-based fees" can move from experiment to stable institution; over the next five years, the key is whether Meitu can truly raise itself from a mobile imaging tool into a higher-stickiness visual workbench. As long as the answer is still "in the process of proving," its stock is better suited to discipline by range than to chasing the price by imagination.

【Company Profile Scores】

  • Fundamental quality: Medium

  • Growth: High

  • Moat: Medium

  • Financial soundness: Strong

  • Management credibility: Medium

  • Valuation attractiveness: Medium

  • Risk level: Medium

  • Suitable investor type: Long-term growth

【Investment Rating】

  • Rating: Hold

  • One-line investment thesis: the core subscription business is already working; usage-based fees and global expansion still have to keep delivering.

  • 【Ideal Buy Price】3.4–4.0 HKD Rationale: corresponds to roughly 15–16x owner earnings under the conservative scenario, leaving a fuller buffer for rising compute costs and intensifying competition.

  • Acceptable holding price: 4.5–6.0 HKD

  • Clearly overvalued price: 7.4–9.0 HKD and above

  • Current price classification: acceptable to hold

  • Worth waiting for a better price: yes. For new money, below HK$4.0 is more attractive; or wait until the next results further prove productivity ARR, overseas paid penetration, and compute-cost control before accepting a slightly higher price. The opportunity cost of waiting is that if the company proves "subscription + usage" is delivering smoothly in two consecutive updates, the share price may revise up ahead of time.

  • Target holding period: 1–3 years

  • Expected annualized return: conservative about -20%; neutral about +13%; optimistic about +77%

  • Maximum loss risk: about 50%–60%; the trigger is general-purpose models and platform-style competitors compressing pricing power, with gross margin and valuation multiple declining together.

  • Signals that trigger a reassessment: if imaging and design revenue growth falls below 15% for two consecutive disclosure periods; if gross margin stays below 70% for two consecutive disclosure periods; if productivity ARR growth drops below 25%; if compute and cloud-related cost growth persistently exceeds core-business revenue; if new overseas paying users slow while advertising weakens at the same time.

【Valuation Range】

  • current: 4.64 (as of the 2026-06-12 close)

  • bear (conservative · ideal buy zone): [3.4, 4.0]

  • base (fair · acceptable holding zone): [4.5, 6.0]

  • bull (optimistic · above the clearly-overvalued line): [7.4, 9.0]

Research Uncertainty

This report still has four blind spots. First, Meitu does not, like U.S. SaaS, continuously disclose full quarterly financials—Q1 2026 is a business update, not a complete income statement. Second, the company does not publicly disclose retention, ARPU, and CAC for each major product, so the unit economics of productivity tools can only be judged indirectly. Third, Canva and ByteDance's products are not full listed comparables, so the horizontal comparison is naturally asymmetric on the financials. Fourth, retail data sources differ on the basis of Meitu's headline P/E, so this report places more weight on the owner-earnings and cash-flow framework and does not treat a single static P/E as the core anchor.

Reference Sources

This report mainly uses the following public sources: Company and exchange filings, including Meitu's 2025 results announcement, 2025 interim report, 2024 annual report, Alibaba partnership and convertible-bond announcements, buyback-plan announcement, and founder share-purchase announcement. The company's official business updates and media pages, including the Q1 2026 business update and product and company introduction pages. Authoritative financial media and quote pages, including Reuters, Google Finance, and Yahoo Finance. Official materials of comparable companies, including official financials, investor-relations pages, and official press releases of Adobe, Figma, Kuaishou, Canva, and others. Industry and product research references, including a16z's 2026 Top 100 Gen AI Consumer Apps report.

Other Tickers Mentioned in This Report

  • ADBE.US — the global creative-software leader, used to benchmark Meitu's pricing power and valuation-compression risk in the AI era.

  • FIG.US — a collaborative-design SaaS benchmark, used to gauge how far Meitu is from high-retention, high-seat-penetration software.

  • 01024.HK — Kling AI directly competes with Kaipai and Wink for content and marketing budgets in video generation.

  • 300624.SHE — Wondershare is a listed reference for the global-expansion path of creative software, used to compare the overseas-commercialization quality of AI tools.

  • 09988.HK — Alibaba is both a strategic partner and a convertible-bond investor, affecting Meitu's cloud costs, channels, and governance structure.

This report is based on public information and does not constitute investment advice. Markets carry risk; invest with caution.

AdobeADBEFigmaFIGKuaishou1024Wondershare300624Alibaba9988

MeituAI imagingsubscription monetizationproductivity toolsglobal expansionAI applications
Reader Q&A10

Baillie Framework · Ten Questions for Growth Investing

10

Hunting ten-year five-baggers among great growth stocks — pressing the upside question: "Can it get much bigger?"

Baillie Framework · Ten Questions for Growth Investing — score profile: 52/100 total Ceiling 6/10 · Revenue 2x 6/10 · Next engine 5/10 · Moat 5/10 · Reinvention 6/10 · Management 6/10 · Customer need 5/10 · Unit economics 7/10 · 5x path 3/10 · Blind spot 3/10 0510 How high is its market ceiling? Is it enlarging an existing pie, or creating an entirely new market? — 6/10 Ceiling 6 Can its revenue at least double over the next five years? Will growth mainly be driven by volume, price, or new businesses? — 6/10 Revenue 2x 6 Five years from now, what will take over as the next growth engine? Does this "second curve" exist today? — 5/10 Next engine 5 What is its core competitive advantage? Will this moat widen or narrow over the next three to five years? — 5/10 Moat 5 If its core business is disrupted, does it have the DNA to reinvent itself? How does it handle mistakes and bad news? — 6/10 Reinvention 6 Does management, especially the founder, have a long-term view and deeply aligned interests with the company? Is it willing to sacrifice current profits for five to ten years from now? — 6/10 Management 6 If it disappeared tomorrow, how much would customers miss it? Is its growth model sustainable and not dependent on harming society or inviting regulatory pressure? — 5/10 Customer need 5 What are the unit economics of this business, including gross margin and incremental returns? Do they improve or worsen as scale grows? Where is the money it earns spent? — 7/10 Unit economics 7 What conditions must all hold for it to rise fivefold over ten years? Are these conditions realistic? What expectations does today's share price imply? — 3/10 5x path 3 Why has the market not recognized all this yet? Is it failing to understand, looking down on it, or not looking far enough? What would become the "narrative inflection point"? — 3/10 Blind spot 3
  • How high is its market ceiling? Is it enlarging an existing pie, or creating an entirely new market?6/10

    The ceiling is large enough, but Meitu is "expanding and reshuffling an existing pie," not creating a brand-new market out of thin air. Its real growth comes from moving high-frequency image-editing demand from "free consumer photo retouching" into budget pools more willing to pay, such as commercial image output and video production, rather than opening up demand that did not previously exist.

    The demand side itself is a long runway. Photo retouching, design, video, e-commerce materials, and marketing content have always been frequent, long-standing work. AI simply turns "manual creation" into "semi-automated generation"; it does not create demand from nothing. The image/design track meets the Baillie LTGG condition that matters most: "a large market still expanding ten years from now." Comparable companies have already sketched the ceiling: Canva had about 260 million monthly active users in 2025, revenue of about USD 3.5 billion, and ARR above USD 3 billion; Kuaishou Kling AI generated more than USD 20 million in revenue in December 2025 alone, with ARR reaching USD 240 million; Adobe reported USD 6.4 billion in revenue in Q1 FY2026, with AI-first ARR above USD 500 million. This shows that "visual creation tools" are a large pool that can accommodate multiple players with revenue in the billions of dollars, and Meitu is nowhere near the industry ceiling.

    But the boundaries must be stated honestly. First, this is an "existing pie": Photoshop, Canva, and CapCut have already educated the market. Meitu is competing for budgets held by e-commerce sellers, content creators, and small and medium-sized merchants, rather than creating a new category. Second, Meitu's current base remains relatively small: 2025 revenue from continuing operations was RMB 3.859 billion, a little over USD 500 million, leaving it one order of magnitude below Canva and Adobe. Its ceiling is more about "whether it can climb out of a niche platform" than "whether it can define a category." Third, what truly determines the slice it captures is penetration and scenario migration: the report discloses that subscription penetration was only 5.5% in the first half of 2025, while paid users of productivity applications grew 52.9% YoY to 2.34 million in Q1 2026. The scale is still small, but the direction is toward higher-value users.

    The conclusion: market ceiling height is not this company's bottleneck. Demand is long enough and large enough. The real question is "how much of this large pie it can take," which depends on subscription penetration, payment intensity in productivity scenarios, and expansion into high-ARPU overseas markets, not on whether the market itself is big enough. Meitu stands up on this question, but it is a "take a slice of a large pie" story, not a "create a new market" story. There is no need to dress it up as the latter just to fit a growth narrative.

    Jun 15, 2026
  • Can its revenue at least double over the next five years? Will growth mainly be driven by volume, price, or new businesses?6/10

    A revenue doubling over the next five years is highly likely, but the honest framing is that this is not explosive "fivefold in ten years" growth. It looks more like a medium-high-speed compounding curve supported by structural improvement. Growth will mainly be driven by "volume (paid users) + new businesses (productivity tools and usage-based charging)." Pure "price (price increases)" is not the main engine.

    Start with the realism of a doubling. Meitu's 2025 revenue from continuing operations was RMB 3.859 billion, up 28.8% YoY. If core image and design products maintain mid-teens growth and advertising is broadly flat, revenue could double to a little over RMB 7 billion within 4-5 years, implying a CAGR of about 13%-15%. That is not aggressive given its current delivery pace. The core segment itself grew 41.6% YoY on a continuing-operations basis in 2025, far faster than total revenue, so structural improvement still has inertia. The threshold for doubling is therefore not high. The harder questions are whether advertising drags the pace and whether compute costs erode the economics.

    Then break down the growth sources. This is the more important part.

    "Volume" is the first driver. Global paid subscription users rose from about 15.4 million in mid-2025 to more than 16.91 million by the end of 2025, and then to more than 17.9 million in Q1 2026, up 30.2% YoY. Penetration is still only around 5.5%, which means there is substantial room to convert more free users into paid users. This is the most certain source of incremental growth.

    "New business" is the second driver, and the source of upside. Productivity applications such as Meitu Design Studio, Kaipai, RoboNeo, and Vmake had ARR of about RMB 580 million in Q1 2026, up about 56% YoY, while paid users grew 52.9% YoY. Usage-based charging through AI credits is also scaling, with consumption in Q1 2026 up 59% from December 2025. If this line keeps delivering, it can lift growth from "natural climbing through more subscribers" to "subscription plus usage-based dual throttle."

    "Price" is not the main engine, and may even face reverse pressure. Once AI capabilities become a platform standard, vertical applications' pricing power will be compressed. The report explicitly notes that every time the market revises up expectations for general-purpose model capabilities, Meitu suffers a valuation pullback. The more realistic path for Meitu is to "migrate toward high-ARPU regions and high-value scenarios" (most new paid users in 2025 came from Europe, the Americas, and East Asia), using mix upgrade to lift ARPU rather than forcing price increases on existing users.

    Conclusion: a five-year doubling is credible, mainly depending on paid-user volume and whether the productivity/usage-based new business can continue scaling. Pricing power is limited, so it should not be treated as a growth stock driven by price increases. The real risk lies in "whether this growth is valuable," rather than "whether it can grow." That must be answered through gross margin and the cash conversion of usage-based charging (see the unit economics question).

    Jun 15, 2026
  • Five years from now, what will take over as the next growth engine? Does this "second curve" exist today?5/10

    The second curve already exists today and has become visible: "productivity tools + usage-based charging (AI credits)," namely the line that moves from "consumer photo-editing subscriptions" into "commercial image output, video production, and e-commerce materials." This curve is not a PPT story. It already has measurable revenue and acceleration, which is the key evidence distinguishing Meitu from companies merely riding the AI concept.

    First, define the current engine. Meitu's mainstay today is revenue from "image, video, and design products." In 2025, on a continuing-operations basis, the core segment grew 41.6% YoY to about RMB 2.95 billion, accounting for 76.6% of total revenue, underpinned by VIP subscriptions. This line is still growing, but its ceiling is "how much consumers are willing to pay in subscription fees for photo retouching."

    The next second curve is already running. There are three sets of evidence. First, productivity application ARR was about RMB 580 million in Q1 2026, up about 56% YoY, and productivity paid users grew 52.9% YoY to 2.34 million, clearly faster than the consumer base. Second, usage-based charging is taking shape. AI credits consumption in Q1 2026 grew 59% from December 2025, with faster growth in Kaipai, RoboNeo, Meitu Design Studio, and Vmake. This shows users are "frequently using AI as a tool" rather than merely trying it out. Third, the Agent feature in Meitu Design Studio rapidly became the main driver of billings growth from December 2025, meaning AI has moved from "helping users retouch photos" to "doing work for users" (producing product images, editing videos, and writing livestream scripts).

    From Baillie's perspective of putting firepower into years 3-10, the upside in this second curve is that if "subscription (stable base) + usage-based charging (second throttle)" can become a system, Meitu upgrades from a "high-quality image application" into an "AI visual production workstation." The benchmark is then no longer a consumer App, but lightweight SaaS. The report's optimistic scenario reprices it as "light SaaS," which is exactly the blue-sky case after this curve fully delivers.

    But two risks must be stated honestly, without inflating the story. First, this curve is tied to its costs. The more usage-based charging is consumed, the faster inference compute bills rise. In 2025, computing/bandwidth/storage/API costs already reached RMB 415 million. If usage growth keeps outrunning monetization, the second curve will have "volume without profit." Second, its moat is more about product and scenario than exclusive foundational technology. ByteDance's ecosystem, Kling, Canva, and Adobe Express are all competing for the same budget pool, and platform-type rivals could suppress the second curve at any time through lower pricing.

    Conclusion: the second curve is a real business that "already exists, is already accelerating, but still needs another two or three quarters to prove cash conversion." It is no longer a distant vision that does not exist today. Meitu clearly stands up on the existence question. The uncertainty lies in "whether it can turn from an experiment into a stable system," not in "whether it exists."

    Jun 15, 2026
  • What is its core competitive advantage? Will this moat widen or narrow over the next three to five years?5/10

    Meitu's core competitive advantages are "product understanding + brand mindshare + cross-product distribution," not exclusive foundational technology. Over the next three to five years, this moat will most likely "not widen, and may even narrow at the margin," because its weakest link is precisely technology, and in the AI era technological scarcity is compressed fastest. This question requires a cautious judgment. A narrow moat should not be described as a wide moat just to support a growth narrative.

    Start with the three moats that truly hold. The first is brand and product mindshare. The report cites that an iResearch survey in 2016 showed that about 53.5% of photos on China's mainstream social networks had been processed through Meitu-family applications. By the first half of 2025, the company was still citing QuestMobile data saying the Meitu App ranked first by MAU in China's mobile image-editing market. For a vertical tool to remain the "default photo-retouching entry point" ten years later is itself a barrier. The second is product understanding and workflow packaging: it knows what users want to turn which images, videos, and product materials into, and packages foundational models into concrete scenarios such as AI product images, smart editing, AI livestream videos, and batch image generation. The barrier lies in scenario abstraction and aesthetic tuning, not in algorithms. The third is a cross-product distribution network: it can funnel light users from Meitu Xiuxiu, BeautyCam, and Wink into productivity tools such as Meitu Design Studio, Kaipai, and RoboNeo. Productivity application paid users grew 52.9% YoY in Q1 2026, showing this funnel is working.

    Then the weakest link: the technology moat. The report admits that what is easiest to compress in this industry has always been "whether others can do the same thing at lower cost, with more traffic, and across broader scenarios." Meitu is also building vertical models and fine-tuning open-source models. Third-party API costs stayed at a mid-single-digit share of total costs in 2025, which means it is not fully dependent on external closed-source models. But this also means, in reverse, that it does not have a foundational technology that "others cannot build in the short term" as a barrier.

    Will the moat widen or narrow over the next three to five years? My judgment is that "the brand and distribution portion can hold, while the technology-scarcity portion will keep being eroded; the net effect leans toward marginal narrowing." The reason is that competitors are too strong and all sit against the same budget pool: Canva had about 260 million monthly active users in 2025 and ARR above USD 3 billion, crushing the template and collaboration side; Kuaishou Kling AI generated more than USD 20 million in revenue in December 2025 alone, with ARR reaching USD 240 million, entering video generation with platform traffic; Adobe's AI-first ARR exceeded USD 500 million in Q1 FY2026, guarding the professional workflow high end; and general-purpose large models are turning image/video capabilities into standard features. All of this weakens the technology scarcity of vertical applications.

    The only path that could make the moat "widen" is turning productivity tools into a "light Canva": pulling users into workflows, creating switching costs, and even moving toward seats. But the report honestly notes that Meitu's retention, seat expansion, and team-collaboration attributes remain insufficient, so enterprise-ization is only a vision.

    Conclusion: there is a moat, but it is relatively shallow (deeper than a pure traffic moat, shallower than a technology moat), and its weakest technology link faces continuous pressure from industry evolution. Over three to five years, it is likely to narrow at the margin. This is a relatively unimpressive dimension for the company in the Baillie framework and should be recorded as such.

    Jun 15, 2026
  • If its core business is disrupted, does it have the DNA to reinvent itself? How does it handle mistakes and bad news?6/10

    Meitu has a fairly strong "self-reinvention DNA." This is precisely the capability repeatedly proven over the past ten years, and the dimension where it truly stands up. At the same time, judging from its financial actions, its attitude toward mistakes and bad news is pragmatic: it is willing to proactively cut businesses that went wrong and willing to strip out one-off noise so that real operations can be seen. But the honest caveat is that this reinvention depends on "product migration capability," not a "technology moat as a backstop." Whether it can succeed again during the next disruption is not guaranteed in advance.

    Start with historical evidence of reinvention. This is the key DNA to examine when the core business is disrupted. Meitu itself is a history of "overturning and rebuilding its core business." At listing, 95.1% of revenue in the first half of 2016 came from smart hardware, making it a company with a mismatch between "internet traffic assets" and a hardware revenue structure. It proactively scaled back the hardware narrative. In 2020, it put subscriptions, in-app purchases, and advertising back at the center of revenue. In 2022, it achieved its first full-year profit since IPO, with VIP subscription revenue of RMB 782 million, up 57.4% YoY. From 2023, it rewrote the core business again from "traffic + advertising" into "digital content tools + subscriptions," and upgraded AI from a feature into a business revaluation engine. A company that can complete two major shifts in ten years, from "hardware to subscriptions to AI productivity," and each time without sacrificing traffic for profit, has hard evidence of self-reinvention DNA. It does not depend on a single once-and-for-all product, but on the meta-capability of "continuously understanding users and continuously repackaging capabilities into paid products."

    Then look at how it handles mistakes and bad news. Two actions deserve credit. First, it proactively cut a low-quality business that had gone wrong: in 2025, the company discontinued the cosmetics supply-chain-management-based business within the original "beauty solutions" segment. Related revenue fell from RMB 345 million in 2024 to RMB 33 million in 2025. In the short term this made statements less comparable and revenue look smaller, but over the long term it was right. That business consumed inventory, had low gross margin, and did not fit the "productivity and globalization" main line. Choosing to "actively slim down" rather than cosmetically inflate revenue is a mature correction posture. Second, it does not avoid the sources of accounting noise: the report repeatedly discloses one-off gains from cryptocurrency disposal in 2024, about RMB 512 million of one-off non-cash IFRS 2 expense related to Alibaba convertible bonds in 2025, and continuing/discontinued operation reclassification. It actively separates these disturbances to discuss owner earnings rather than dressing up headline profit.

    But weaknesses must be called out rather than inflated into a gene story. First, several of Meitu's past "mistakes" were conspicuous. Its cryptocurrency purchase in 2021 was essentially thematic speculation and unrelated to the core business, revealing that management once had an impulse to drift away from the core in capital allocation. Second, and more fundamentally, its reinvention capability is built on "product migration," not on a "technology barrier." If the next disruption comes from "general-purpose models turning vertical capabilities into free standard features," there is no guarantee about which new scenario it can migrate into while still controlling pricing. This has to be watched as it develops.

    Conclusion: self-reinvention DNA is one of Meitu's strengths, substantiated by two major historical pivots. Its handling of mistakes is also pragmatic and willing to cut. This dimension performs well in the Baillie framework. But its resilience comes from product understanding rather than a technology moat, so "it reinvented itself before" does not mean "it will definitely reinvent itself next time." It should be tracked continuously rather than assumed to always turn successfully.

    Jun 15, 2026
  • Does management, especially the founder, have a long-term view and deeply aligned interests with the company? Is it willing to sacrifice current profits for five to ten years from now?6/10

    Management has a typical "founder-led over the long term, with interests deeply tied to the company" structure. This is a positive under Baillie's preferences. But evidence on "whether it is willing to sacrifice current profits for five to ten years from now" is mixed. It has indeed made fairly heavy upfront R&D investments in large visual models, while also returning capital through buybacks and dividends. It is more a pragmatic operator that "invests while also considering current returns," rather than an Amazon-style extreme long-termist. The grading should be honest, neither inflated nor understated.

    First, long-term vision and interest alignment are relatively solid. Founder Wu Zeyuan began developing image-editing software in 2008 and remains chairman and CEO today. Business decisions and product judgment have not been outsourced to professional managers, which is exactly the "founder still at the helm" feature Baillie values. At the equity level, the report discloses that Cai Wensheng's interest was about 23.45% in the 2024 annual report. The company remains a typical founder-led structure, with core interests deeply tied to the company. The advantages of this structure are fast decision-making, long-term product judgment, and less vulnerability to short-term financial-report pressure.

    On "willingness to sacrifice current profits for the long term," evidence points both ways. Supportive evidence: in 2024, the company spent heavily on training large visual models, with R&D expense rising to RMB 911 million, including about RMB 140 million of large visual model training costs. This is a classic "spend first to build future capability and hold down current profit" long-term investment. The company also keeps directing resources toward productivity tools and AI agents rather than merely harvesting the existing subscription base. Reservations: the company is also making clear current-return moves. Net profit grew about 64.7% YoY in 2025, and shareholder returns received much greater emphasis. In 2026 it launched a buyback plan of up to HKD 300 million, and after the 2025 annual report proposed a final dividend of HKD 0.05 per share. These are all positive, but they also show it is pursuing "both investment and returns," not "betting everything on the long term while ignoring current profit." Given that it has just emerged from a transition and has ample cash (RMB 4.937 billion in cash and other liquid financial resources at the end of 2025), this balance is reasonable and should not be criticized too harshly.

    But the governance discount must be recorded honestly. This is the negative factor in this dimension. The report identifies three risks. First, the company uses a Cayman structure and controls domestic businesses through contractual arrangements (VIE), so VIE risk has not disappeared. Second, Alibaba's convertible bonds carry a director nomination right, allowing it to nominate one non-executive director if conditions are met, introducing an external governance variable. Third, a founder/major-shareholder-led structure naturally carries a governance discount. The other side of fast decision-making is weaker checks and balances. In addition, the 2021 purchase of cryptocurrency, a thematic speculation unrelated to the core business, once exposed a history of capital allocation drifting away from the core and should be included as a discount to "management judgment."

    Conclusion: management clearly meets the bar on "long-term vision + aligned interests." It is a pragmatic founder-led team. But on "sacrificing current profits for the long term," it is "moderate investment + attention to returns," not extreme long-termism. With governance discounts from the VIE, convertible-bond nomination rights, and prior crypto speculation, I would rate it "medium" rather than "high." This is a management team worth trusting, but one that should be viewed with a governance discount.

    Jun 15, 2026
  • If it disappeared tomorrow, how much would customers miss it? Is its growth model sustainable and not dependent on harming society or inviting regulatory pressure?5/10

    The two sub-questions should be answered separately and honestly. "Would customers miss it?" Yes, but the "degree of missing it" is medium, not irreplaceable, because there are many functionally similar alternatives. "Is its growth model sustainable and not harmful to society or regulation?" Broadly healthy. It relies on users actively paying rather than exploitative monetization, but content compliance, data privacy, and generated content are regulatory constraints where it cannot afford mistakes. Meitu passes this question, but the "indispensability" dimension deserves a medium rating. It should not be described as "customers cannot live without it" just to support a growth narrative.

    First, "how much would customers miss it if it disappeared tomorrow?" The positive evidence is real user stickiness and mindshare. The report cites that in the first half of 2025, the Meitu App ranked first by MAU in China's mobile image-editing market (QuestMobile), and global paid subscription users exceeded 17.9 million in Q1 2026, up 30.2% YoY. For many users, the "default photo-retouching entry point" is Meitu Xiuxiu. E-commerce sellers and content creators also use it to produce product images and edit videos, and these people would genuinely feel inconvenience in the short term. But the intensity of "missing it" is limited. There are too many substitutes (CapCut, Canva, Kling, Adobe Express, and even general-purpose models can do similar things), and switching costs are not high for the vast majority of consumer users. Only a minority of productivity users who have embedded Meitu Design Studio and Kaipai into their workflows would feel real migration pain. In other words, Meitu is "useful, convenient, and liked by users," but not yet "irreplaceable, without which the business cannot operate." This is another way of describing its relatively shallow moat.

    Second, "is its growth model sustainable and not harmful to society or regulation?" This is the more important half of the question (the dual test of indispensability + sustainability). From the monetization perspective, it is healthy: Meitu earns subscription fees from users paying for the product itself and charges by usage for AI functions. In 2025, core image and design product revenue was about RMB 2.95 billion, accounting for 76.6%, meaning "users voluntarily pay for value." It is not extracting rent through inducement, addiction mechanics, or damage to user interests, so there is no obvious flaw in social sustainability. It even proactively cut the low-gross-margin cosmetics supply-chain business, making revenue lighter. From the regulatory perspective, constraints are real but not fatal. The report lists China's requirements around personal information protection, telecom and internet user information protection, and online protection of children's personal information. For a company processing images, videos, cloud data, and overseas users, content safety, data export, privacy compliance, and generated-content compliance cannot go wrong. These are "things it must continue doing right," not "the business model itself crossing a social red line." Geopolitical impact is relatively indirect, concentrated in the App Store ecosystem, overseas customer acquisition, and cloud service supply.

    Conclusion: customers would miss it, but this is "medium missing with substitutes." The growth model is clean and sustainable, relying on real payment rather than exploitation. Regulation is a long-term compliance constraint, not a hard wound in the business model. Overall this deserves "medium-high": sustainability adds points, while indispensability is its relative weakness. Record it honestly; there is no need to exaggerate it into "customers cannot live without it."

    Jun 15, 2026
  • What are the unit economics of this business, including gross margin and incremental returns? Do they improve or worsen as scale grows? Where is the money it earns spent?7/10

    The unit economics of this business are currently "good": high gross margin, positive operating leverage, and strong cash conversion. As scale grows, they are still improving in the short term, but there is one clear variable that could make them "worse": usage-based charging (AI inference compute). The money it earns is mainly spent on large visual model R&D, buybacks, and dividends. Capital allocation is overall restrained and healthy. This dimension is relatively solid for Meitu, but the risk that "compute may swallow incremental profit" must be marked honestly.

    Start with gross margin and cash quality. The foundation is strong. In the first half of 2025, gross margin rose to 73.6%, and full-year 2025 gross margin from continuing operations was also around 73.6%, a healthy level for a "software subscription + usage-based" business. More importantly, profit quality is better than headline net profit. The report discloses cumulative operating cash flow of about RMB 2.65 billion over 2022-2025, versus cumulative net profit of about RMB 1.74 billion over the same period, indicating healthy cash conversion. In 2025, operating cash flow was RMB 1.257 billion, while capex was only about RMB 50 million, putting rough owner earnings around RMB 1.2 billion. This is a business that "does not burn much capex and converts cash well," matching Baillie's preference for "high incremental returns."

    Then examine the direction of unit economics as scale grows. This is the key point, with positive and negative forces pulling against each other. The positive side (operating leverage): in the first half of 2025, compute and cloud-related costs were RMB 107 million, up 15.0% YoY, clearly slower than paid-user growth. This shows that so far, incremental revenue from user growth has grown faster than compute costs, and larger scale spreads unit costs. The negative side (compute ceiling): the largest cost item is payment-channel commissions to Apple and Google (RMB 618 million in 2025), which grow linearly with revenue and are hard to spread. The second is computing/bandwidth/storage/API costs, which reached RMB 415 million in 2025, nearly half of which corresponded to inference compute, while AI credits consumption in Q1 2026 rose 59% from December 2025. The more usage-based charging is used, the faster inference bills rise. This positive leverage has a hard premise: higher AI usage must be accompanied by higher pricing, conversion, and retention. If compute usage grows faster than monetization, gross margin will turn down. So "larger scale means better economics" is currently true, but not unconditional. The most important metrics to watch are "compute and cloud-related costs as a share of image and design revenue" and "whether gross margin falls below 70% for two consecutive periods."

    Finally, where is the money spent? Capital allocation is restrained and directionally right. There are three destinations. First, investment in future capabilities: R&D expense rose to RMB 911 million in 2024, including about RMB 140 million in large visual model training costs. Second, shareholder returns: a buyback plan of up to HKD 300 million in 2026 plus a final dividend of HKD 0.05 per share. Third, maintenance of a large safety cushion: cash and other liquid financial resources of about RMB 4.937 billion at the end of 2025, with total borrowings of only RMB 20 million. The only historical blemish is the 2021 cryptocurrency purchase, an allocation unrelated to the core business, but it was fully exited in 2024 and recent allocation has returned to the core business.

    Conclusion: unit economics are currently "good": high gross margin, positive leverage, strong cash, low capex, and restrained capital allocation. This is one of Meitu's strengths in the Baillie framework. But whether economics can keep improving at scale depends on a single variable: "whether cash conversion from usage-based charging can outrun inference compute bills." This is a risk that must be monitored, but it has not yet become an actual deterioration. Stating this clearly makes the dimension stand up.

    Jun 15, 2026
  • What conditions must all hold for it to rise fivefold over ten years? Are these conditions realistic? What expectations does today's share price imply?3/10

    For Meitu to rise fivefold over ten years, four conditions must hold "simultaneously," and the probability that all of them happen at the same time is not high. That is the honest judgment. It should not be forced into Baillie's "fivefold in ten years" narrative by pretending the conditions are easy. The good news is that today's share price does not imply aggressive expectations. The market has already given back a large portion of AI optimism, so even if a fivefold outcome is not achieved, downside is relatively limited.

    First, list the four conditions required for a "fivefold in ten years" outcome. First, productivity tools and usage-based charging must truly become a system, scaling ARR from about RMB 580 million in Q1 2026 by an order of magnitude, while revenue and gross profit grow together rather than producing "volume without profit." Second, gross margin must hold above 70% despite continuously rising compute bills. The more usage-based charging is consumed, the faster inference costs rise. Without this condition, unit economics cannot support a fivefold outcome. Third, high-ARPU overseas markets must continue delivering, so globalization depends on "the product truly selling" rather than low-price customer acquisition, lifting ARPU. Fourth, and hardest, Meitu must elevate itself from a "high-quality image application" into a "high-retention, seat-capable light Canva-style visual workstation," so that it receives a software valuation center rather than remaining in the tool-stock range. Of these four, the first three are "execution speed" questions and are observable. The fourth is a "qualitative transformation" question and carries the greatest uncertainty. The report's optimistic scenario (repriced as light SaaS, implying a return of +60% to +94%) is exactly the picture in which all four conditions hold, but it is itself the hardest of the three scenarios.

    An honest reality check: all four conditions holding together is "possible but not the base case." If any one link breaks, whether advertising keeps dragging, compute swallows incremental profit, overseas growth slows, or enterprise-ization fails to arrive, the fivefold outcome vanishes. So for Meitu, ten-year fivefold is "the ceiling of an optimistic scenario," not "a reasonable expectation." Baillie requires honesty. A name with relatively strong cyclicality/narrow-moat attributes should not be automatically placed into an "inevitable fivefold" narrative.

    Then look at what today's share price implies. This is the other half of the question, and the good news. The current price is HK$4.64 as of the 2026-06-12 close, with market cap of about HKD 21.1 billion (about HKD 21.8 billion by stockanalysis.com), and a 52-week high of HK$12.56 and low of HK$4.10. The current price is close to the one-year low, far below the high, and even below the 2016 IPO price of HK$8.50. On valuation, headline PE is inconsistent (Google Finance static PE of 26.25x and Yahoo trailing PE of 33.42x), but after stripping out noise such as the high base from cryptocurrency disposal, the one-off non-cash Alibaba convertible-bond expense, and continuing/discontinued operation reclassification, the current price is roughly 16x owner earnings using 2025 owner earnings estimates. That is nowhere near as expensive as headline PE makes it look.

    So today's share price actually implies "moderate" expectations. It is not discounting aggressive long-term success. It is closer to "core subscriptions have worked, neutral growth is priced in, and usage-based charging plus enterprise-ization receive little optimism." The report's neutral scenario implies a return of about -3% to +29%, and the conservative scenario about -27% to -14%, showing that the current price is slightly above the lower end of the neutral range and slightly above the upper end of the conservative range. It is not deeply undervalued, but it is certainly not a bubble.

    Conclusion: a fivefold rise over ten years requires four demanding conditions to hold simultaneously, and the realistic probability is not high. It should be treated as upside optionality rather than the base case. But today's share price does not imply greedy expectations and has already squeezed out most AI optimism, so downside is relatively protected. This is a name with "upside from optionality and some downside protection, but no obvious margin of safety." It suits disciplined range-based positioning rather than chasing on a fivefold imagination.

    Jun 15, 2026
  • Why has the market not recognized all this yet? Is it failing to understand, looking down on it, or not looking far enough? What would become the "narrative inflection point"?3/10

    The market has actually noticed Meitu's execution. The problem is a mix of "not looking far enough + partly looking down on it." It knows core subscriptions have worked, but deliberately refuses to price them fully, because the market is stuck on two issues: first, headline statement noise makes it "look expensive" and obscures true valuation; second, the structural concern that "vertical applications may be eaten by general-purpose models" makes investors "afraid to look far." The narrative inflection point will not come from a single-quarter positive surprise. It will require "usage-based charging + overseas ARPU to prove for two consecutive quarters that cash is rising, not just usage." This is more like "the market rationally applying an uncertainty discount." It is not a severe mispricing or a free bargain, and that must be stated honestly.

    First, define how much of this is "failing to understand / looking down on it / not looking far enough." "Failing to understand" is part of it, mainly because valuation metrics are messy. Over the past two years, Meitu has had one-off gains from cryptocurrency disposal, about RMB 512 million of one-off non-cash IFRS 2 expense from Alibaba convertible bonds in 2025, continuing/discontinued operation reclassification, and FVTPL fair-value volatility in long-term investments. This severely distorts headline PE: Google Finance static PE is 26.25x and Yahoo trailing PE is 33.42x, with inconsistent methodologies. Investors staring at static PE may "mistakenly think it is expensive when it is cheap." After stripping out noise, owner earnings imply only about 16x, but retail market data sources will not do that work for you. This is the source of "failing to understand."

    "Looking down on it" is also part of it, because of historical baggage. At listing, 95.1% of Meitu's revenue in the first half of 2016 came from hardware; it was removed from MSCI in 2017; and its 2021 cryptocurrency purchase made it look like a thematic stock. The market still carries an old impression of "traffic illusion, thematic speculation, and long-term unprofitability," so it habitually applies a discount and is reluctant to acknowledge that it has become a software company with decent cash flow.

    "Not looking far enough" is the largest piece and the real valuation pressure: the market is highly alert to whether "vertical AI applications can withstand general-purpose large models." Since 2025, every upward revision to expectations for general-purpose model capabilities has caused valuation pullbacks for application-layer companies, and Meitu's share price decline from the one-year high of HK$12.56 to HK$4.64 is this concern being priced. The market is not blind to growth in productivity ARR and paid users (paid subscriptions exceeded 17.9 million in Q1 2026, and productivity ARR was about RMB 580 million). It doubts whether "this growth can preserve value, or whether it will be compressed into a feature layer by platform rivals and general-purpose models."

    But honesty matters: this "not looking far enough" may not be wrong. The report itself acknowledges that the moat leans toward product and scenario, while technological scarcity will keep being eroded. Rivals such as Canva with USD 3 billion ARR and Kling AI with USD 240 million ARR are genuinely formidable. So the market's discount is "rational uncertainty pricing," not "obvious mispricing." This is exactly where it sits: cheap with some unfairness, but also with reasons behind the discount. It is not a free cigar butt.

    Finally, the narrative inflection point: what would make the market change its view. I think the inflection point requires "continuous proof" of three things, not a single-quarter positive. First, productivity ARR must move from about RMB 580 million toward RMB 800 million to RMB 1 billion, while revenue and gross margin grow together, proving that "subscription + usage-based" is not high-cost prosperity. Second, high-ARPU overseas new paid users must continue to be the main driver, proving globalization comes from product strength rather than paid acquisition. Third, gross margin must still hold above 70% while compute bills rise. Once two consecutive disclosure cycles prove that "cash is rising, not just usage," the market can shift from valuing it as "a fragile application layer that may be eaten at any time" to valuing it as "light SaaS." That is the true narrative inflection point. Conversely, if two consecutive cycles only prove rising usage without rising cash, this repricing round will stop.

    Conclusion: what the market has not truly read is that "after stripping out noise, it is not that expensive, and execution is still accelerating," rather than "whether Meitu has executed." The obstacles are failing to understand (statement noise) + looking down on it (historical baggage) + not looking far enough (general-purpose model threat). The "not looking far enough" part is reasonable and does not amount to mispricing. The inflection point is two consecutive quarters confirming cash conversion from usage-based charging and overseas ARPU. Until then, this stock is better suited to disciplined range-based positioning than to betting that the market wakes up immediately.

    Jun 15, 2026
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