Zhongzhu Healthcare Holding (600568) Fair Value & Analysis
Healthcare · CN · Market cap 5.1B CNY
Analysis
Zhongzhu Healthcare Holding (600568) currently trades at ¥2.26, while our model-based Fair Value estimate is ¥0.3500 — implying the stock looks roughly 84.5% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Zhongzhu Healthcare Holding Co.,Ltd engages in the research and development, production, and sale of drugs in China. The company offers ophthalmology drugs, including Pearl eye drops, Sodium Cromolyn eye drops, Acyclovir eye drops, Hydroxybenzone Hydrochloride eye drops, Acyclovir dispersible tablets, and Gatifloxacin tablets; and products related to tumor treatment. It is also involved in production and sales of products of hepatest ultrasonic liver cirrhosis detector, infusion heater, and Moon God whole body gamma knife. In addition, the company develops 1.1-class chemical drug Leonurine (SCM-198) project with the effect of lowering blood lipids and preventing and treating stroke; and genistein capsules for the treatment of osteoporosis. Further, it engages in residential real estate development; business management; hospital investment management; technology promotion and application services; research and experimental development; special equipment manufacturing industry; and fi…
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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.