IFLYTEK(SZ:002230) Zhong Guo Zheng Quan Bao·2025-10-20 12:36Core Viewpoint - The company reported a strong performance in Q3 2025, with significant growth in revenue and net profit, indicating a healthy operational trend despite previous losses in the first three quarters of the year [1][2]. Financial Performance - In Q3 2025, the company's revenue reached 6.078 billion yuan, a year-on-year increase of 10.02% - The net profit attributable to shareholders was 172 million yuan, showing a remarkable year-on-year growth of 202.40% - The net profit after deducting non-recurring items was 26.24 million yuan, up 76.50% year-on-year [1]. - For the first three quarters of 2025, total revenue was 16.989 billion yuan, a 14.41% increase year-on-year, while the net profit attributable to shareholders was a loss of 666.75 million yuan [1]. Market Position and Developments - The company maintained a leading position in the large model bidding market, with the highest number and amount of successful bids from January to September 2025, totaling 545 million yuan in Q3 alone [3]. - The number of developers in the "Xunfei Spark" ecosystem grew significantly, with over 1.22 million new developers added, including 690,000 in large model development [3]. Shareholder Activity - In Q3, five shareholders adjusted their holdings, with increases from Hong Kong Central Clearing Limited and Industrial Bank Co., Ltd. [3]. - Notable increases included 7.934 million shares and 6.703 million shares, raising their respective holdings to 70.596 million shares and 35.911 million shares [3]. Fundraising and Investment Plans - The company’s 2025 annual private placement project has been accepted by the Shenzhen Stock Exchange, with a revised plan to raise up to 4 billion yuan [4]. - The revised fundraising plan includes a new project for a "computing power platform" with an investment of 2.4 billion yuan, while maintaining 800 million yuan for the Spark education model and reducing working capital to 800 million yuan [4][5]. Strategic Initiatives - The company plans to implement the computing power platform project through a leasing model to expand its computing capacity, supporting large model research and algorithm innovation [5]. - This approach aims to provide sufficient computing support for the industry application of the Spark large model while ensuring cost efficiency [5].