BIOPOR (BIOPOR) Fair Value & Analysis
Healthcare · DK · Market cap 663M DKK
Fair value as of: Jun 24, 2026
Analysis
BIOPOR (BIOPOR) currently trades at kr 1.13, while our model-based Fair Value estimate is kr 0.5700 — implying the stock looks roughly 49.3% 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: low).
About the company
BioPorto A/S, an in-vitro diagnostics company, focuses on developing biomarker tests to help clinicians detect the kidney injury in critically ill patients at earlier stage in Denmark, rest of Europe, North America, and Asia. It offers ProNephro AKI (NGAL), a test for pediatric acute kidney injury (AKI); NGAL Test, a particle-enhanced turbidimetric immunoassay for the quantitative determination of neutrophil gelatinase-associated lipocalin (NGAL) in human urine, EDTA plasma, or heparin plasma on automated clinical chemistry analyzers to diagnose acute kidney injury; and antibodies to develop diagnostic immunoassays within disease areas, including immunodeficiency, allergy, coagulation, diabetes, kidney, and cardiovascular disease. The company also provides ready-to-use enzyme-linked immunosorbent assay (ELISA) kits to quantify NGAL in urine, plasma, and serum; and generic Rapid Assay Device (gRAD) for custom lateral flow assays. BioPorto A/S was founded in 1917 and is based in Helle…
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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.