CellaVision AB (CLVSF) Fair Value & Analysis
Healthcare · US · Market cap $322M
Fair value as of: Jun 24, 2026
Analysis
CellaVision AB (CLVSF) currently trades at $14.00, while our model-based Fair Value estimate is $13.17 — implying the stock looks roughly 5.9% 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
CellaVision AB (publ) develops and sells instruments, software, and reagents for blood and body fluids analysis in Sweden and internationally. The company provides analyzers for microscopy systems; and DIFF-Line, a hematology lab that handles a smaller amount daily blood samples, as well as consists of three instruments, such as CellaVision DC-1, RAL SmearBox, and RAL StainBox for smearing, staining, and analyzing peripheral blood smears. It also provides CellaVision DC-1 for performing blood cell differentials; and CellaVision DM1200 and CellaVision DM9600 to automate and simplify the process of performing blood and body fluid differentials. In addition, the company's CellaVision Bone Marrow Aspirate Application enables laboratories to automate, standardize, and simplify morphological examination of bone marrow aspirate samples; CellaVision Peripheral Blood Application enables laboratories to automate, standardize and simplify morphological examination like peripheral blood smears;…
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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.