Guoyuan Securities Company (000728) Fair Value & Analysis
Financial Services · CN · Market cap 31.2B CNY
Analysis
Guoyuan Securities Company (000728) currently trades at ¥7.38, while our model-based Fair Value estimate is ¥8.74 — implying the stock looks roughly 18.4% undervalued today. We read business quality at 92/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Guoyuan Securities Company Limited operates as a securities company in China and internationally. The company operates through six segments: Wealth & Credit, Financial Markets, Investment Banking, Asset Management, Institutional, and International. It offers wealth management services, such as stocks, funds, bonds, income certificates, cash management products, and derivatives such as options and futures; fixed income foreign exchange products, equity investment, securities market making, innovative finance, and alternative investments; equity financing, debt financing, mergers and acquisitions, financial advisory, and the New Third Board business; asset management services covering private equity funds, public funds, etc.; and research support, investment and financing matching, comprehensive financial product allocation, and customized service solutions. The company was founded in 1997 and is headquartered in Hefei, 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.