Shanghai Haohai Biological Technology Co (688366) Fair Value & Analysis
Healthcare · CN · Market cap 7.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Shanghai Haohai Biological Technology Co (688366) currently trades at ¥30.50, while our model-based Fair Value estimate is ¥29.03 — implying the stock looks roughly 4.8% overvalued today. We read business quality at 91/100 (high quality), in the Healthcare 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
Shanghai Haohai Biological Technology Co., Ltd. engages in the research, development, manufacture, and sale of biomedical materials in Mainland China, Europe, the United States, and internationally. The company offers ophthalmic implants, assistive devices, and medical devices; medical optical instruments, including intraocular lenses, endoscopic equipment, ophthalmic surgical instruments, and other ophthalmic medical products; hyaluronic acid and chitosan; and electronic instruments, such as semiconductors, optoelectronics, lasers, radio frequency, and ultrasonic instruments. It also engages in the research and development of biological engineering and pharmaceutical products and related technology transfer activities, consulting, and other services; research, development, production, and sales of radio frequency instruments; cell technology and biochemical product technology research and development; computer, communication, and other electronic equipment manufacturing; instrument…
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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.