PT Murni Sadar Tbk, (MTMH) Fair Value & Analysis
Healthcare · ID · Market cap 1.9T IDR
Fair value as of: Jun 24, 2026
Analysis
PT Murni Sadar Tbk, (MTMH) currently trades at 1,010 IDR, while our model-based Fair Value estimate is 463.97 IDR — implying the stock looks roughly 54.1% 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: medium).
About the company
PT Murni Sadar Tbk, together with its subsidiaries, provides health services and manages private hospitals in Indonesia. The company offers outpatient installation services, including specialist, family health, general, dental, tropical diseases, travel medicine, and pain clinics; laboratory services, such as clinical pathology, blood bank, biomolecular/PCR, microbiology, and anatomical pathology; radiotherapy, consists of LINAC, CT-simulator and immobilization, treatment planning system, and brachytherapy services. It also provides radiology services, including general X-Ray, ultrasonography (USG), mammography, 128 slice CT scan, 1.5 Tesla MRI, and interventional radiology; heart & vascular center, such as ECG, treadmill test, echocardiology, holter monitoring, and cardiac catheterization laboratory; endoscopy, contain esophagoscopy, gastroscopy, colonoscopy, bronchoscopy, and ERCP; medical rehabilitation, comprising physiotherapy, speech and occupation therapy, and orthotic prosth…
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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.