Realcan Pharmaceutical Group (002589) Fair Value & Analysis
Healthcare · CN · Market cap 4.0B CNY
Analysis
Realcan Pharmaceutical Group (002589) currently trades at ¥2.60, while our model-based Fair Value estimate is ¥1.25 — implying the stock looks roughly 51.9% 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
Realcan Pharmaceutical Group Co., Ltd. sells medicines, medical devices, and medical consumables to medical institutions in China. It operates through the Drug and Equipment Distribution, In Vitro Diagnostics, Pharmaceutical Logistics, Traditional Chinese Medicine, and Microbiome Medicine segments. The company engages in the processing, manufacture, sale, and wholesale of Chinese medicinal materials, herbal medicine, and patent medicine. It is also involved in the wholesale of biochemical, psychotropic, narcotic, and toxic drugs for medical use; chemical APIs, and preparations; antibiotics, biological products, anabolic steroids, peptide hormones, poppy shells, and pharmaceutical precursor chemicals; and medical devices. In addition, the company provides leasing of medical devices and technical services; investment management and consulting services; medical sterilization outsourcing and consulting services; health consulting services; and pharmaceutical logistics services. Further,…
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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.