Cofoe Medical Technology Co (301087) Fair Value & Analysis
Healthcare · CN · Market cap 10.5B CNY
Analysis
Cofoe Medical Technology Co (301087) currently trades at ¥44.80, while our model-based Fair Value estimate is ¥39.14 — implying the stock looks roughly 12.6% 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
Cofoe Medical Technology Co., Ltd. engages in the research and development, production, sales, and service of home care medical devices in China. The company offers medical and wellness products for various types of diseases treatment, damage therapy, daily health maintenance, and life quality improvement. It also offers rehabilitation aids products, such as hearing aids, electric wheelchair, and orthopedic/posture correction products; medical care products, such as dressing products and ostomy care products; health monitoring products for monitoring human physiological parameters including metabolic disease testing product and thermometers; respiratory support products including non-invasive ventilators and nebulizers; and TCM therapy and other products, such as physiotherapy devices. Additionally, the company offers logistics and warehousing services to third party medical product companies and on-line storemanagement services. Further, the company manufactures its products throug…
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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.