Guolian Minsheng Securities Co (601456) Fair Value & Analysis
Financial Services · CN · Market cap 53.5B CNY
Analysis
Guolian Minsheng Securities Co (601456) currently trades at ¥9.52, while our model-based Fair Value estimate is ¥6.52 — implying the stock looks roughly 31.5% 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
Guolian Minsheng Securities Co., Ltd., together with its subsidiaries, provides various financial products and services in the People's Republic of China. It operates through Brokerage and Wealth Management; Credit Transaction; Investment Banking Operations; Proprietary trading; Asset Management and Investment; and Others segments. The company is engages in providing securities and futures trading and brokering services; investment consulting and asset allocation services; financial leverage for brokerage clients; corporate finance and financial advisory services; portfolio management and maintenance; investment advisory and transaction execution services; and wealth management products. It is also involved in direct investments and funds related business; trading in financial products; securities-backed lending and securities repurchase businesses. The company was formerly known as Guolian Securities Co., Ltd. and changed its name to Guolian Minsheng Securities Co., Ltd. in January…
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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.