Shanxi Securities Co (002500) Fair Value & Analysis
Financial Services · CN · Market cap 18.8B CNY
Analysis
Shanxi Securities Co (002500) currently trades at ¥5.34, while our model-based Fair Value estimate is ¥4.38 — implying the stock looks roughly 18.0% 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
Shanxi Securities Co., Ltd. operates as a securities company in China. The company operates through five segments: Wealth Management, Corporate Finance, Asset Management, Investment, and Institutional Business. The Wealth Management segment is involved in securities brokerage, investment advisory, sale of financial products developed by the company, and other financial institutions, financing. This segment also offers custody and operation outsourcing services for various private equity products, such as securities lending, equity pledge, repurchase agreements, asset allocation, and wealth planning. The Corporate Finance segment engages in the investment banking, NEEQ business, corporate services, private equity investment, and alternative investment. The Asset Management segment provides equity products and mutual funds, as well as fixed income. The Investment segment is involved in the fixed income, proprietary equity trading, and commodities, and currency trading. The Institution…
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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.