Gentian Diagnostics ASA (GENT) Fair Value & Analysis
Healthcare · NO · Market cap 557M NOK
Fair value as of: Jun 24, 2026
Analysis
Gentian Diagnostics ASA (GENT) currently trades at kr 34.70, while our model-based Fair Value estimate is kr 26.24 — implying the stock looks roughly 24.4% 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
Gentian Diagnostics ASA develops, manufactures, and sells biochemical reagents for use in medical diagnostics and research in the United States, Asia, and Europe. It offers in-vitro diagnostic reagents for clinical chemistry analyzers, such as Gentian Calprotectin Immunoassay, a turbidimetric assay used for the measurement of circulating calprotectin in plasma and serum for detection and assessment of inflammation; Gentian Cystatin C Immunoassay test kit, a GFR marker for the diagnosis and therapeutic control of renal function and chronic kidney disease; Gentian Retinol-Binding Protein Immunoassay for detection of retinol-binding protein in human serum and plasma; and Canine CRP Immunoassay test kit, a particle-enhanced turbidimetric immunoassay for quantitative determination of canine C-reactive protein in dog plasma and serum. The company also develops faecal calprotectin immunoassay turbo that offers results of calprotectin concentration in stool supporting diagnosis of inflammat…
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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.