AcouSort AB (ACOU) Fair Value & Analysis
Healthcare · SE · Market cap 99.0M SEK
Fair value as of: Jun 24, 2026
Analysis
AcouSort AB (ACOU) currently trades at kr 4.01, while our model-based Fair Value estimate is kr 3.47 — implying the stock looks roughly 13.5% 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
AcouSort AB (publ), a technology company, develops components and instruments used in the diagnostics, analytics, and cell therapy processing markets. It offers AcouTrap, a benchtop research instrument for sample preparation of cells, extracellular vesicles, bacteria, and viruses from various media; AcouPlasma, a module that enables in-line analysis of blood plasma from whole blood samples; Acoustic Separation Module, a microfluidic solution that provides continuous separation, washing or up-concentration of cells; Acoustic Trapping Module, a microfluidic cell sorters or quality control systems for bioreactors and cell therapy production; AQC Module, an in-line optical analysis of particle suspensions for quality control or monitoring applications; and AcouWash, a benchtop research instrument for label-free separation of target cells from various samples. The company has a collaboration agreement with Moeller Medical to exhibit a prototype system for analyzing separation of cells fr…
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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.