PT Diagnos Laboratorium Utama Tbk (DGNS) Fair Value & Analysis
Healthcare · ID · Market cap 269B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Diagnos Laboratorium Utama Tbk (DGNS) currently trades at 230.00 IDR, while our model-based Fair Value estimate is 50.50 IDR — implying the stock looks roughly 78.0% 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: high).
About the company
PT Diagnos Laboratorium Utama Tbk provides health services using laboratories in Indonesia. The company offers laboratory tests comprising hemostasis, hepatitis, autoimmune and rheumatology, tumor markers, toxicology, lipid, allergies, TORCH, diabetes, electrolytes-blood gases, respiratory tract infection, pathology anatomy, neonatal screening, hematology, body fluids, feces, specific proteins, DNAnswer genomics, kidney function, liver function, immunology, osteoporosis, thyroid, pharmacogenomic, heart, reproduction and fertility, microbiology, drug monitoring, lungs, gastrointestinal, nutrition and heavy metals, anemia, and other bacteria; genomics; homecare services; and inspection panel tests. It also provides clinical pathology, anatomical pathology, and microbiology laboratory; and corporate health and research services. PT Diagnos Laboratorium Utama Tbk was founded in 2007 and is headquartered in Jakarta Pusat, Indonesia.
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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.