Zhejiang CONBA Pharmaceutical Co (600572) Fair Value & Analysis
Healthcare · CN · Market cap 10.5B CNY
Analysis
Zhejiang CONBA Pharmaceutical Co (600572) currently trades at ¥4.13, while our model-based Fair Value estimate is ¥4.11 — implying the stock looks roughly 0.5% overvalued today. We read business quality at 94/100 (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
Zhejiang CONBA Pharmaceutical Co.,Ltd. engages in the research, development, production, and sales of pharmaceuticals and health products in mainland China. It offers medicines, Chinese patent medicines, chemical medicines, Chinese herbal medicine slices, and health products. The company also provides Chinese decoction pieces; over-the-counter medications; healthy consumer products, including nutritional supplements, hygiene products, healthy daily chemicals and food, and other self-care products; and processes agricultural products. In addition, it offers prescription pieces, formula granules, plant extracts, and other products. The company was formerly known as Lanxi Yunshan Pharmaceutical Factory and changed its name to Zhejiang CONBA Pharmaceutical Co.,Ltd. in October 1999. Zhejiang CONBA Pharmaceutical Co.,Ltd. was founded in 1969 and is headquartered in Hangzhou, China. Zhejiang CONBA Pharmaceutical Co.,Ltd. is a subsidiary of Zhejiang Traditional Chinese Medicine Health Indus…
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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.