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业绩下降30%!两只港股银行股大跌
证券时报·2025-07-30 14:59

Core Viewpoint - The recent mid-year earnings reports from Hong Kong-listed companies indicate significant growth in sectors such as innovative pharmaceuticals, education, and finance, with many companies reporting substantial year-on-year increases in performance [1][2][3]. Group 1: Company Performance Highlights - Over 60 Hong Kong-listed companies have released mid-year earnings, with notable performers including Hong Kong Broadband and Yuhua Education, both of which reported earnings that doubled year-on-year [2][5]. - Hong Kong Broadband achieved a remarkable profit increase of 6911.73%, with a net profit of HKD 108 million for the six months ending February 28, 2025, attributed to improved operational efficiency and reduced financing costs [6]. - Yuhua Education reported revenue of approximately CNY 1.278 billion, a 7.2% increase, with adjusted net profit rising by 108.7% to CNY 435 million, driven by increased enrollment and optimized cost management [7]. - WuXi AppTec's revenue for the first half of 2025 reached CNY 20.799 billion, a 20.6% increase, with net profit soaring by 95.5% to CNY 8.287 billion [8]. - IMAX China reported a revenue increase of 31.66% to USD 57.802 million, with net profit rising by 88.9% to USD 23.893 million, driven by increased content solutions and technology services revenue [10]. Group 2: Sector Trends and Outlook - According to CITIC Securities, the overall revenue growth rate of the Hang Seng Index is expected to significantly increase compared to the previous year, with healthcare, information technology, and consumer discretionary sectors leading the growth [3][24]. - Despite a general slowdown in profit growth, certain sectors such as retail, semiconductors, education, diversified finance, and gaming are expected to see continued upward revisions in profit growth forecasts [24][25]. - The pharmaceutical sector is benefiting from a favorable external environment, while the consumer electronics industry is recovering, particularly with the rapid deployment of AI-related technologies [25].