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粉笔发布业绩预告:上半年营收不少于14.72亿元,同比略下滑
FENBIFENBI(HK:02469) Xin Jing Bao·2025-08-06 03:15

Core Viewpoint - The company, Fenbi, anticipates a decline in revenue and profit for the first half of 2025 due to intense competition in the Chinese examination training industry [1] Group 1: Financial Performance - Fenbi expects to achieve revenue of no less than RMB 1.472 billion in the first half of 2025, a decrease of no more than 9.7% compared to RMB 1.630 billion in the same period of 2024 [1] - The projected net profit for the first half of 2025 is at least RMB 215 million, down by no more than 22.6% from RMB 278 million in the previous year [1] - Adjusted net profit, excluding share-based payments, is expected to be no less than RMB 260 million, a reduction of no more than 25.5% from RMB 349 million year-on-year [1] Group 2: Market Demand and Competition - Despite the revenue and profit decline, the demand for examination training remains strong, with the number of students applying for exams increasing annually [1] - The 2025 National Examination plans to recruit 39,700 candidates, setting a new record for recruitment scale, with 3.416 million applicants passing the qualification review, resulting in a ratio of approximately 86:1 between qualified applicants and recruitment plans [1] - The number of applicants for the 2025 National Examination has increased by nearly 400,000 compared to 2024 [1] Group 3: AI Product Development - Fenbi has launched an AI-based question practice system class, which has sold approximately 50,000 sessions and generated revenue of about RMB 20 million by June 30, 2025 [2] - 90% of the students in the AI question practice class were previously registered and active users on the company's app but had not shown willingness to pay for courses [2] - The company plans to expand its AI large class courses to more subjects within 2025, currently only available for civil service subjects [2] Group 4: Interview Market Strategy - Fenbi has introduced an AI interview evaluation feature based on its AI domain model, targeting the interview market characterized by high average transaction value and strong willingness to pay [2] - The company aims to gradually upgrade its AI interview evaluation products to accelerate growth in the AI interview business [2]