DataStory seeks Hong Kong IPO as revenue surges 53.8%
DataStory Artificial Intelligence Technology Co. Ltd. applied for a Hong Kong IPO, reporting a 53.8% revenue rise in Q1 2026 to 79.6 million yuan. However, net losses widened fivefold to 144 million yuan due to doubled R&D costs, while gross margins fell to 39.9%. The company ranks third in China's enterprise AI market.

*this image is generated using AI for illustrative purposes only.
DataStory Artificial Intelligence Technology Co. Ltd. has submitted an application to list on the Hong Kong stock exchange, aiming to capitalize on the booming enterprise AI market in China. The company, which provides AI-native applications and large model solutions, reported strong revenue growth but widening losses in its latest financial disclosures. The planned listing is underwritten by China Securities International, with market speculation suggesting a potential raise of up to $100 million.
Founded in 2015 by Xu Yabo, DataStory helps businesses improve efficiency using enterprise-level large model applications. Xu controls approximately 34.27% of the voting rights, while smartphone giant Xiaomi holds a 6.33% stake. The company targets the enterprise large model-driven business growth market in China, which was valued at 8.6 billion yuan ($1.27 billion) in 2025 and is projected to reach 150.1 billion yuan by 2030, representing an annual growth rate of 77.2%.
DataStory ranks third in its sector with a 5.8% market share, operating in a market where the top five players hold 37.8% of the total share. Its revenue is generated through two primary segments: enterprise growth AI solutions and enterprise growth AI applications. The former, which provides end-to-end AI solutions to large corporations, contributed 70.6% of revenue in the first quarter of 2026. The latter, delivered as SaaS or subscription-based tools, accounted for 25.8% of revenue.
Financial results for the first quarter of 2026 show revenue increased 53.8% year-over-year to 79.6 million yuan. This growth was driven by a rise in key accounts, which increased by nine to 20, and a 53.3% jump in average revenue per key client to 2.3 million yuan. However, profitability deteriorated as the net loss ballooned to 144 million yuan, roughly five times the loss from the previous year. Research and development expenses doubled to 40.18 million yuan, consuming 50.5% of revenue compared to 37.8% a year earlier.
Financial Performance
The company's gross margins have faced consistent pressure over recent years. The metric fell from 57.2% in 2023 to 52.2% in 2024, and further declined to 42.1% in 2025. In the first quarter of 2026, the gross margin slipped to 39.9%. Management attributed this erosion to the expanding contribution of lower-margin solutions to the revenue mix.
| Metric | Value |
|---|---|
| Q1 2026 Revenue | 79.6 million yuan |
| Q1 2026 Revenue Growth | 53.8% |
| Q1 2026 Net Loss | 144 million yuan |
| Q1 2026 R&D Expenses | 40.18 million yuan |
| Q1 2026 Gross Margin | 39.9% |
| 2025 Gross Margin | 42.1% |
| 2024 Gross Margin | 52.2% |
| 2023 Gross Margin | 57.2% |
DataStory's declining profitability contrasts with global peers like Palantir, which has maintained gross margins above 80% for five consecutive quarters through the first quarter of 2026. As DataStory moves toward its public debut, investors will likely focus on whether the company can stabilize its gross margins and reduce its reliance on heavy R&D spending to achieve sustainable profits.
What specific strategies will DataStory implement to reverse the trend of declining gross margins as it scales?
How will the company balance the need for continued heavy R&D investment with investor demands for a path to profitability?
Will DataStory shift its revenue mix toward higher-margin SaaS offerings to reduce reliance on lower-margin end-to-end solutions?





















