UMediC Group (0256) Fair Value & Analysis
Healthcare · MY · Market cap 118M MYR
Fair value as of: Jun 24, 2026
Analysis
UMediC Group (0256) currently trades at 0.3000 MYR, while our model-based Fair Value estimate is 0.2700 MYR — implying the stock looks roughly 10.0% overvalued today. We read business quality at 93/100 (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
UMediC Group Berhad, an investment holding company, develops, manufactures, markets, and distributes medical devices and consumables in Malaysia, the Asia Pacific, the Americas, Europe, the Middle East, Africa, and Oceania. The company operates nursing homes and healthcare centers, and other related services; markets and distributes laboratory equipment and consumables; and provides after-sales services. It also provides HYDROX prefilled humidifiers and nebulizers; AIRDROX inhaler spacers; FLEXIDROX water for inhalation bag; and hospital furniture, life-support solution, MR compatible monitoring solution, oxygen therapy and suction solution, patient monitoring system, resuscitation care, ultrasound solution, women and childcare, critical care solution, and anaesthesia solution. In addition, the company offers various services, including clinical training on equipment, planned preventive maintenance, installations, equipment pre-checks, equipment servicing and repair, 24/7 emergency …
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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.