开普云信息科技股份有限公司2025年年度业绩预告

Core Viewpoint - The company, Kape Cloud Information Technology Co., Ltd., anticipates a significant decline in net profit for the fiscal year 2025, projecting a loss compared to the previous year, primarily due to goodwill impairment and ongoing investments in AI technology [1][2]. Financial Performance Forecast - The company expects a net profit attributable to shareholders of the parent company to be between -8 million to -12 million yuan for 2025, representing a decrease of 2,859 million to 3,259 million yuan, or a decline of 139% to 158% year-on-year [1]. - The projected net profit, excluding non-recurring gains and losses, is expected to be between -18.5 million to -22.5 million yuan, a decrease of 2,734 million to 3,134 million yuan, or a decline of 309% to 355% year-on-year [1]. Previous Year Performance - In 2024, the total profit was 14.05 million yuan, with a net profit attributable to shareholders of the parent company at 20.59 million yuan, and a net profit excluding non-recurring gains and losses at 8.84 million yuan, with earnings per share of 0.31 yuan [4]. Reasons for Performance Changes - The company conducted a comprehensive review and impairment testing of goodwill related to its energy business, leading to an expected impairment provision of 16 million to 18 million yuan, which, when excluded, results in a positive net profit [5]. - The company is deepening the application of AI technology in core industry scenarios and continues to invest in AI R&D, although the commercialization of these technologies requires time, impacting financial results. The company has improved its accounts receivable collection, resulting in a significant decrease in accounts receivable and achieving a historical high in net cash flow from operating activities [5]. - Looking ahead, the company has a complete technical reserve and business support, continuing to implement its "AI computing power + intelligent agents + smart applications" strategy, launching multiple AI applications to support order acquisition and accelerate AI application penetration [5].