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BOC International (China) Co (601696) Fair Value & Analysis

Financial Services · CN · Market cap 35.3B CNY

Price¥13.48
Fair Value¥6.40
Upside-52.5%
Quality95/100
Evidence: High Range ¥4.80 – ¥8.00

Analysis

BOC International (China) Co (601696) currently trades at ¥13.48, while our model-based Fair Value estimate is ¥6.40 — implying the stock looks roughly 52.5% 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

BOC International (China) Co., Ltd., together with its subsidiaries, engages in the securities business in China. The company offers equity and debt financing, financial advisory, and new third board services; research and institutional business services; wealth management, including financial product distribution, PB services, investment advisory, and repurchase; securities brokerage; credit, such as margin trading, securities lending, and stock pledge; stock options; intermediary business services; and investment management. It also provides securities investment consulting; securities underwriting and sponsorship; proprietary securities trading; securities asset management; distribution of mutual funds; management of publicly offered mutual funds; private equity investment; alternative investment; and futures. The company was founded in 2002 and is headquartered in Shanghai, 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.