医渡科技(02158)连续5日回购 累计斥资超730万港元
智通财经网·2025-12-09 12:54

Core Viewpoint - In the context of ongoing adjustments in the Hong Kong stock market, Yidu Tech (02158) has demonstrated its intrinsic value and management confidence through a series of solid buyback operations and significantly improved interim performance [1] Group 1: Buyback Operations - On December 9, Yidu Tech announced a buyback of 345,000 shares at a price of HKD 5.15 per share, totaling approximately HKD 1.78 million [1] - The company has implemented buybacks for five consecutive trading days, accumulating around 1.42 million shares with a total expenditure exceeding HKD 7.3 million [1] Group 2: Financial Performance - For the interim report of the fiscal year 2026, Yidu Tech reported total revenue of RMB 358 million, representing a year-on-year growth of 8.7% [1] - The adjusted EBITDA for existing business reached approximately RMB 54 million, doubling compared to the same period last year, with the company nearing breakeven on its financial statements, achieving this milestone about a year ahead of management's original expectations [1] Group 3: Market and Industry Trends - According to Guosen Securities, the short-term adjustment in the Hong Kong stock market provides space for recovery in 2026, with the US dollar index expected to weaken in early 2026, benefiting the valuation recovery of emerging markets [1] - The AI sector remains a key focus for 2026, driven by the need for accelerated domestic hardware production and the anticipation of more AI applications, with companies increasingly utilizing AI to enhance labor productivity [1] Group 4: Company Positioning in AI Healthcare - Yidu Tech operates in the AI healthcare sector, which is one of the most barrier-rich and demand-driven core scenarios in the "AI empowering various industries" landscape [1] - The company's medical large model technology has entered a new phase of "multiple blooming and large-scale implementation," evidenced by three dimensions: deep application in over 30 top-tier hospitals, significant accuracy improvements in TNM staging assessment, and the integration of expert clinical experience through digital avatars of doctors [1]