Fairvalue-Calculator Fairvalue-Calculator

Nanhua Futures Co (603093) Fair Value & Analysis

Financial Services · CN · Market cap 15.1B CNY

Price¥21.88
Fair Value¥12.84
Upside-41.3%
Quality95/100
Evidence: High Range ¥9.63 – ¥16.05

Analysis

Nanhua Futures Co (603093) currently trades at ¥21.88, while our model-based Fair Value estimate is ¥12.84 — implying the stock looks roughly 41.3% 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

Nanhua Futures Co., Ltd. provides future brokerage, wealth management, risk management, financial, and future investment consulting services in China and internationally. It offers future brokerage services, including commodity and financial future services; asset management business; and wealth management services, such as asset management, public fund, and securities investment fund agency services. The company also provides over-the-counter derivative, trading, market making, and other risk management-related services; and securities brokerage, foreign exchange trading, future investment consulting, financial training, securities investment consulting, and other services. The company was incorporated in 1996 and is based in Hangzhou, China. Nanhua Futures Co., Ltd. operates as a subsidiary of Hengdian Group Holding Co.,Ltd.

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.