Medtecs International Corporation (9103) Fair Value & Analysis
Healthcare · TW · Market cap 3.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Medtecs International Corporation (9103) currently trades at 5.23 TWD, while our model-based Fair Value estimate is 0.8400 TWD — implying the stock looks roughly 83.9% 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: low).
About the company
Medtecs International Corporation Limited, an integrated healthcare services provider, manufactures and distributes medical consumables for healthcare distributors, pharmaceutical companies, and hospital groups. It operates through Manufacturing, Hospital, and Distribution and Others segments. The Manufacturing segment produces and sub-contracts a range of medical consumables, including patients' apparel, disposable surgical masks, boot covers and surgical gowns, underpads, adult diapers, crochet blankets, bed linens, and medical bandages. Its Hospital Services segment offers laundry and leasing services to hospitals that outsource its non-critical functions. The Distribution segment markets Medtecs-branded medical consumables to hospitals, pharmacies, and other end users, as well as through online channels. This segment also supplies other branded medical supplies and equipment comprising wheelchairs, syringes, nebulizers, and blood pressure monitors. In addition, the company manuf…
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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.