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The Hong Kong stock market is currently witnessing an unprecedented rally centered on SenseTime (02513.HK), marking the first AI-focused listing in China to achieve a trillion Hong Kong dollar market capitalization. An investment of $1 million made in January would have appreciated to $25 million by June 22, representing a 24.6-fold increase since the initial public offering. This trajectory has accelerated the company's journey from IPO to a trillion-HKD valuation faster than any predecessor in the history of the Hong Kong exchange. The market frenzy has sparked three critical inquiries regarding the beneficiaries of this surge, the drivers behind the valuation expansion, and the potential for future capital inflows. Data compiled by Woofun AI indicates that the company's valuation has expanded approximately 130 times from its angel round to the present, with 57 external investors injecting a total of 8.36 billion RMB, resulting in a combined book value of roughly 770.8 billion HKD and an aggregate return of 85 times.
The distribution of returns across investment rounds reveals extreme asymmetry, particularly for early-stage backers. Zhongke Chuangxing, which invested 40 million RMB in the 2019 angel round when the firm was merely a knowledge graph team spun off from Tsinghua's KEG Lab, saw its stake multiply into hundreds of billions of HKD. Series A and B funds have similarly achieved returns in the hundreds of times, while later institutional entrants have recorded astonishing gains. Xu Xin's ZhenFund invested 255.3 million RMB in November 2023, securing 11.35 million shares that held a book value of approximately 32.3 billion HKD on June 22, yielding a 116-fold return. This single position now exceeds the entire $3 billion USD management size of ZhenFund, surpassing all previous deals in Xu Xin's career including investments in Netease and JD.com. Meituan's industrial investment of roughly 300 million yuan has generated an unrealized gain exceeding 15,000%, representing over 5% of Meituan's own market capitalization.
State-owned enterprises and local government platforms constitute a significant portion of the shareholder base, creating a unique synergy between capital and procurement. Entities from Beijing, Tianjin, Shanghai, Hangzhou, Zhuhai, Chengdu, and Daxing, including Zhongguancun Science City and the Social Security Fund's Independent Innovation Investment Fund, have injected capital that often translates into guaranteed government system contracts. Woofun AI notes that this model mirrors the success of China Star Optoelectronics and Changxin Memory Technologies, where government investment secures orders and facilitates rapid production scaling. This structural advantage ensures that as long as government and enterprise AI budgets remain active, the revenue ceiling for local deployments remains substantial. In the full year 2025, revenue from local deployment reached 534 million RMB, growing over 100% year-on-year and accounting for 73.7% of total revenue with a gross margin of 48.8%.
Beyond domestic government contracts, the release of the GLM-5.2 model in mid-June has ignited a secondary wave of enthusiasm within the global English-speaking developer community. The model, featuring support for a 1 million token context and MIT open-source weights, received immediate validation from industry leaders. Vercel CEO Guillermo Rauch described the programming capabilities as 'truly impressed, almost shocked,' while former Meta and Google DeepMind executive Matt Velloso labeled it the first open-source model suitable for daily use. This international recognition shifts the narrative from a purely domestic government procurement story to a globally revalued asset capable of competing with GPT and Claude. Woofun AI analysis suggests that if open-source models can effectively reduce inference costs and approach closed-source performance, the market will assign a premium to SenseTime as one of the few publicly traded model companies accessible to global investors.
The stock's price elasticity is further amplified by an exceptionally low free float, a structural characteristic common in recent high-profile IPOs. Although research reports cite 221.31 million circulating shares, the actual tradable volume is significantly lower due to lock-up periods. Of the 43.03 million H-shares issued globally, approximately 30 million were taken by 11 cornerstone investors who subscribed to nearly 70% of the offering. These shares are locked until July 8, 2026, leaving only about 13 million shares, or 2.9% of the total outstanding shares, available for active trading. This scarcity mirrors the listing dynamics of SpaceX, CoreWeave, and Figma, where limited supply against high demand drove massive first-day gains. For a company with a market cap exceeding 1 trillion HKD, having less than 3% of chips actively traded creates extreme price volatility when buying pressure concentrates.
However, the current valuation of approximately $137 billion, corresponding to a price-to-sales ratio of 1280x, diverges sharply from traditional financial frameworks. Even comparing SenseTime to OpenAI, which trades at roughly 56x sales based on $13 billion revenue, SenseTime appears significantly overvalued. Applying OpenAI's multiple to SenseTime's projected 2025 revenue of $100 million suggests a 'reasonable' valuation between $4 billion and $8 billion. Even with JPMorgan's optimistic 2026 revenue growth forecast of 534% to $640 million, the valuation would only support $25 billion to $50 billion. The current price is sustained not by earnings but by scarcity and speculative imagination. The critical test for this valuation will arrive on July 8, when the cornerstone investors' lock-up period expires, releasing 25.68 million shares worth approximately 73.4 billion HKD into the market.
The unlocking of these shares will expand the tradable float from roughly 17.35 million to 43.03 million shares, a 2.5-fold increase that could fundamentally alter the supply-demand balance. While the initial unlock may not trigger a catastrophic collapse, the market will likely begin discounting the potential supply from pre-IPO shareholders, state-owned platforms, and employee stock ownership plans that will follow. Historical precedents in the Hong Kong market, such as the post-unlock sell-offs by Youbi shareholders, indicate that significant reductions in holdings can lead to sharp price corrections. SenseTime must now prove two critical factors: whether the developer engagement from GLM-5.2 can translate into tangible API revenue and whether the market can absorb the increased float without eroding the scarcity premium. If the company fails to demonstrate fundamental growth commensurate with its valuation, the transition from a low-float driven rally to a fundamentals-driven price discovery could result in a severe correction.