Workflow
未知机构:广发计算机刘雪峰团队星环科技68803124年业绩快报点评24年业-20250304
TranswarpTranswarp(SH:688031)2025-03-04 02:05

Summary of Conference Call Records Company Overview - Company: 星环科技 (Xinghuan Technology) - Stock Code: 688031 - Industry: Big Data and AI Tools Key Points and Arguments 1. 2024 Financial Performance: - Total revenue for 2024 is reported at 370 million yuan, a decrease of 24.3% year-on-year [1] - Net profit attributable to shareholders is -34 million yuan, compared to -29 million yuan in the same period last year [1] - Non-recurring net profit is -37 million yuan, compared to -33 million yuan in the previous year [1] - The decline in revenue is attributed to macroeconomic conditions affecting IT spending [1] 2. Impact of Client Spending: - Government and enterprise clients are cautious regarding IT expenditures, particularly in the public sector, which significantly impacts revenue [1][2] - There is a trend towards adopting open-source big data products or delaying purchases of commercial big data products due to budget constraints [2] 3. Growth Opportunities in AI Tools: - In 2025, AI tool products are expected to experience high growth [2] - The launch of the TxData-LM integrated machine in February 2025, featuring the DeepSeek model and SophonLLMOps tools, is anticipated to benefit from the trend of private deployment of AI models [2] 4. Revenue Forecast: - Projected revenues for 2024, 2025, and 2026 are 370 million yuan, 450 million yuan, and 560 million yuan respectively [2] 5. Comparative Analysis: - Xinghuan Technology offers a broader range of products compared to comparable companies like MongoDB, Snowflake, and Elastic [3] - Given the scarcity of big data companies in the A-share market and the future potential of AI software tools, a price-to-sales (PS) valuation of 20 times for 2025 is suggested, leading to a target price of 74.24 yuan per share with an "Overweight" rating [3] Important but Overlooked Content 1. Risks: - Potential risks include competition from tech giants in the big data sector, high R&D costs with uncertain outcomes, and uncertainties in digital transformation investments in downstream application areas [3]