Jiangsu Canopus Wisdom Medical Technology Co (301290) Fair Value & Analysis
Healthcare · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Jiangsu Canopus Wisdom Medical Technology Co (301290) currently trades at ¥27.54, while our model-based Fair Value estimate is ¥7.15 — implying the stock looks roughly 74.0% 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
Jiangsu Canopus Wisdom Medical Technology Co.,Ltd. engages in the research, development, manufacturing, and sale of surgical medical devices, staplers, and spare parts in China. It offers orthopedic traction frames, surgical lamps, hospital system integration solutions, electric gynecological examination tables, obstetrics and gynecology examination tables, electric operating tables, multi-functional intelligent operating tables, ventilators, surgical endoscopes, ultrasound equipment, hydrogen peroxide low-temperature plasma sterilizers, and multifunctional monitoring modules; medical consumables; and open stapler surgical equipment, such as linear cutting stapler, tubular stapler, and hemorrhoidal stapler. The company also provides surgical equipment, such as monitor stands, endoscope compound arm pendant, compound arm crane, dry and wet separation suspension bridges, hanging columns, electric endoscope pendant, cavity mirror hanging towers, cavity mirror pendant towers, and electr…
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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.