Industrial Securities Co (601377) Fair Value & Analysis
Financial Services · CN · Market cap 52.8B CNY
Analysis
Industrial Securities Co (601377) currently trades at ¥6.24, while our model-based Fair Value estimate is ¥5.65 — implying the stock looks roughly 9.5% overvalued today. We read business quality at 93/100 (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
Industrial Securities Co.,Ltd. operates as a securities company in China and internationally. It operates through Wealth Management Business, Institutional Services Business, and Proprietary Investment Business segments. The company provides securities and futures brokerage services, such as buying and selling stocks, funds, bonds, futures, options; sales of financial products; fund investment advisory services; margin trading; stock-pledged repurchase; and equity incentive financing. It also offers asset management, fund asset management, and private equity fund management services; securities research and sales trading services, asset custody and fund services, and institutional trading services; as well as equity financing, debt financing, financial advisory services, financing for small and medium-sized enterprises, and regional equity market services. In addition, it provides proprietary investment and trading of various products, including stocks, bonds, derivatives, equities,…
Open the full interactive analysis →
Similar stocks
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.