EC Healthcare (UNHLF) Fair Value & Analysis
Healthcare · US · Market cap $101M
Fair value as of: Jun 26, 2026
Analysis
EC Healthcare (UNHLF) currently trades at $0.0860, while our model-based Fair Value estimate is $0.1009 — implying the stock looks roughly 17.3% undervalued today. We read business quality at 83/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
EC Healthcare provides medical and healthcare services in Hong Kong, Macau, Mainland China, and Taiwan. It operates through Medical; Aesthetic Medical and Beauty and Wellness; and Veterinary and Other segments. The company offers health checkups and screening, vaccinations, laboratory testing, imaging diagnostics, dental care, and pain management services; quasi-medical and chiropractic services; and aesthetic medical, beauty, haircare, and wellness services. It also provides general and family medicine, musculoskeletal health, eye care, fertility and women's health, men's and children's health, digestive health, chronic disease management, Chinese and sports medicine, corporate medicine and work rehabilitation, preventive screening, rehabilitation and homecare, heart and vascular health, oncology and cancer, and allergies and immunology services. In addition, the company operates veterinary hospitals and clinics that provide medical and surgical procedures, health checks, blood tes…
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Frequently asked questions
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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.