Southwest Securities Co (600369) Fair Value & Analysis
Financial Services · CN · Market cap 27.1B CNY
Analysis
Southwest Securities Co (600369) currently trades at ¥4.15, while our model-based Fair Value estimate is ¥2.72 — implying the stock looks roughly 34.5% 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
Southwest Securities Co., Ltd. operates as a securities company in China. The company operates through Securities Brokerage, Proprietary Securities Trading, Investment Banking, Asset Management, and Other Businesses segments. It is involved in buying and selling of securities; sale of financial products, margin trading, and stock transactions; pledging, repurchase agreements, stock options, institutional brokerage, investment advisory, futures IB, and equity incentive financing; and investment and trading in equity, fixed-income, derivatives, and other financial products. The company also offers equity financing, bond financing, M&A restructuring financial advisory, and listing services; investment management services; and think tank support to local governments and industrial groups. In addition, it engages in the market making and other related businesses; and futures brokerage and risk management businesses. The company was founded in 1990 and is headquartered in Chongqing, China.
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.