Central China Securities Co (601375) Fair Value & Analysis
Financial Services · CN · Market cap 18.1B CNY
Fair value as of: Jun 25, 2026
Analysis
Central China Securities Co (601375) currently trades at ¥4.13, while our model-based Fair Value estimate is ¥2.25 — implying the stock looks roughly 45.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Central China Securities Co., Ltd. operates as a securities company. The company offers wealth management, investment banking, investment management, proprietary trading, and credit services, and overseas business; securities brokerage, investment advisory services, and the distribution of financial products; and equity underwriting and sponsorship, bond underwriting, financial advisory services for mergers and acquisitions. It also provides asset management, private equity fund management, and alternative investment; and margin trading, repurchase agreements, and stock pledges, as well as invests in stocks, bonds, funds, derivatives, and securities in securities. In addition, it is involved in asset management, direct investment, and fund management; futures investment advisory; equity and venture capital investment; and sponsorship underwriting. The company was incorporated in 2002 and is headquartered in Zhengzhou, China.
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.