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申万菱信红利量化选股股票A：2025年上半年利润51.27万元 净值增长率5.02%
Sou Hu Cai Jing·2025-09-04 15:41

Core Viewpoint - The AI Fund Shenwan Lingshin Dividend Quantitative Stock A (017292) reported a profit of 51,270 yuan for the first half of 2025, with a net value growth rate of 5.02% and a fund size of 12.5744 million yuan as of the end of June 2025 [3]. Fund Performance - As of September 3, 2025, the fund's unit net value was 1.152 yuan, with a three-month growth rate of 6.22%, a six-month growth rate of 13.28%, and a one-year growth rate of 18.34%, ranking 92/110, 76/110, and 100/110 among comparable funds respectively [5]. Valuation Metrics - As of June 30, 2025, the fund's weighted price-to-earnings ratio (TTM) was approximately 10.62 times, compared to the industry average of 28.84 times. The weighted price-to-book ratio (LF) was about 0.92 times, while the industry average was 2.19 times. The weighted price-to-sales ratio (TTM) was around 1.17 times, against an industry average of 1.95 times, indicating that the fund's valuations are lower than the industry average [10]. Growth Metrics - For the first half of 2025, the weighted revenue growth rate (TTM) of the stocks held by the fund was -0.01%, with a weighted net profit growth rate (TTM) of 0% and a weighted annualized return on equity of 0.09% [18]. Fund Composition and Holdings - As of June 30, 2025, the fund had 211 holders, with a total of 11.4442 million shares held. Institutional investors accounted for 46.64% of the holdings, while individual investors made up 53.36% [34]. The top ten holdings included major banks and companies such as Industrial and Commercial Bank of China, Postal Savings Bank, and China Petroleum [39]. Fund Management Insights - The fund management indicated that the evolution of international trade patterns and changes in the domestic economy are key variables to monitor for the second half of 2025. They emphasized the continued value of dividend assets due to China's development stage and interest rate environment, and the fund will focus on dividend-themed stocks using a multi-factor model for stock selection [3].