Deconstructing Annual Reports of ZHIPU AI, MiniMax, and Mininglamp: A Comparative Analysis of Financial Profiles Amid Divergent AI Commercialization Paths

The 2025 annual reports of HK-listed AI firms Knowledge Atlas(ZHIPU AI), MiniMax, and Mininglamp reveal a stark divergence across revenue scales, gross margins, and valuations, corresponding to their unique plays in foundation models, To-C apps, and Agent services. As of June 5, 2026, their market caps reached HKD 578.3B, 173.4B, and 33B, representing P/S ratios of 733x, 281x, and 21x, respectively. Mininglamp led the trio in revenue volume and profitability with RMB 1.426B in revenue and a 55% gross margin, highlighting distinct financial and pricing frameworks across different AI layers.

In the first half of 2026, the Hong Kong stock market's AI sector experienced a significant expansion as Knowledge Atlas(ZHIPU AI) (02513.HK), MINIMAX-W (00100.HK), and MININGLAMP-W (02718.HK) consecutively went public on the HKEX. These three companies represent three distinct business paradigms: foundation models, consumer-facing (To-C) applications, and enterprise-grade Agent services, respectively. With the full disclosure of their 2025 annual reports, their differentiated financial profiles and valuation logics have become increasingly distinct.

From a business model perspective, ZHIPU AI centers on its GLM series of large language models, delivering foundational model capabilities to the market via API interfaces, characterizing a "Model-as-a-Product" technology platform route. MiniMax relies on applications like Xingye and Talkie to reach a global user base exceeding 200 million, pursuing a consumer-grade route driven by LLMs. Conversely, Mininglamp Technology does not build its own foundation models; instead, it orchestrates the capabilities of various third-party models into Agentic Services to deliver business outcomes directly to corporate clients, following a service-layer path.

In terms of financial metrics, the three companies exhibit striking differences. ZHIPU AI reported a full-year revenue of RMB 724 million for 2025, a year-on-year increase of 132%, with a gross margin of 41%. MiniMax recorded full-year revenue of approximately USD 79.038 million (equivalent to roughly RMB 560 million), up 159% year-on-year, with a gross margin of 25%. Mininglamp Technology led the trio in revenue scale, posting full-year revenue of RMB 1.426 billion with a gross margin of 55%, while its operating profit approached breakeven. Notably, its Agentic Service business segment, which surpassed RMB 100 million, maintained a high growth rate.

Regarding valuations, the market currently favors the Price-to-Sales (P/S) ratio to price AI enterprises. As of the market close on June 5, 2026, the total market capitalizations of ZHIPU AI, MiniMax, and Mininglamp Technology stood at approximately HKD 578.3 billion, HKD 173.4 billion, and HKD 33.0 billion, respectively. Converting their annual revenues based on the exchange rate of that day, their respective P/S ratios translate to roughly 733x, 281x, and 21x. Analysts point out that different business models command distinct valuation frameworks: foundation models and consumer apps capture high premiums due to their platform characteristics, whereas enterprise service providers are temporarily priced similarly to traditional software companies due to the presence of mature business segments within their revenue structures.

Figure: Comparison of Core 2025 Financial Metrics Among the HK AI Trio (Knowledge Atlas(ZHIPU AI), MiniMax, Mininglamp)

Figure: Comparison of Core 2025 Financial Metrics Among the HK AI Trio (Knowledge Atlas(ZHIPU AI), MiniMax, Mininglamp)

Industry insiders believe that these three paths are not mutually exclusive but rather anchor the model layer, application layer, and service layer, respectively. Enhancing model capabilities expands the orchestration space for Agents; the widespread adoption of applications helps materialize the commercial value of models; and the deep penetration of enterprise services drives the prosperity of the entire ecosystem. As AI commercialization remains in its infancy, the coexistence of multiple business models is likely to persist as a long-term structural characteristic of the Hong Kong stock market's AI sector.

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