PT Medikaloka Hermina Tbk, (HEAL) Fair Value & Analysis
Healthcare · ID · Market cap 11.9T IDR
Analysis
PT Medikaloka Hermina Tbk, (HEAL) currently trades at 875.00 IDR, while our model-based Fair Value estimate is 598.99 IDR — implying the stock looks roughly 31.5% overvalued today. We read business quality at 80/100 (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
PT Medikaloka Hermina Tbk, together with its subsidiaries, operates a network of hospitals in Indonesia. The company offers services in the areas of medical acupuncture, pediatrics, surgery, plastic and reconstructive surgery, neurosurgery, emergency medicine, forensic and medicolegal, dentistry, clinical nutrition, integrative medicine, cardiology, obstetrics and gynecology, primary care family medicine, nuclear medicine and molecular theranostics, psychiatry, andrology, dietetics, lactation counseling, and dermatology and venereology. It also provides services in the areas of ophthalmology, clinical microbiology, pediatric neurology, occupational, radiation oncology, orthopedics and traumatology, pulmonology, anatomical pathology, clinical pathology, anesthesiology, internal medicine, psychology, radiology, physical medicine and rehabilitation, neurology, sports medicine specialist, aviation specialist, radiation specialist, otorhinolaryngology, occupational therapy, and urology. …
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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.