Intco Medical Technology Co (300677) Fair Value & Analysis
Healthcare · CN · Market cap 27.4B CNY
Analysis
Intco Medical Technology Co (300677) currently trades at ¥38.85, while our model-based Fair Value estimate is ¥26.24 — implying the stock looks roughly 32.5% 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: medium).
About the company
Intco Medical Technology Co., Ltd. engages in the research and development, production, and marketing of medical consumables, rehabilitation equipment, and physiotherapy care for medical and elderly care institutions, household daily use, and other related industries in China and internationally. The company offers disposable gloves, gowns, apparel, face masks, diaper, pad, wipes, non-woven sundries, PE products, and hand hygiene; wheelchair, scooter, rollator, lift, and others; physical therapy hot and cold therapy, sport and outdoor, pet products, patient monitoring, and electrosurgery. It also provides ECG electrode, such as monitoring ECG, stress test and holter, diagnostic ECG, pre-wired neonatal, repositionable, tens, off-set ECG, and defibrillation electrode; grounding pad, electrosurgical pencil, and feminine care. The company was formerly known as Intco Medical Technology Co., Ltd. and changed its name to Intco Medical Technology Co., Ltd. in January 2020. Intco Medical Tec…
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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.