BioMaxima S.A (BMX) Fair Value & Analysis
Healthcare · PL · Market cap 39.8M PLN
Fair value as of: Jun 24, 2026
Analysis
BioMaxima S.A (BMX) currently trades at 9.60 PLN, while our model-based Fair Value estimate is 2.81 PLN — implying the stock looks roughly 70.7% overvalued today. We read business quality at 92/100 (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
BioMaxima S.A. produces and distributes microbiological media, reagents, and in vitro diagnostic equipment in Poland. It offers microbiology products, including ready to use media, such as plates, bottles, bags, and media in tubes; dehydrated media; agars and peptones; and supplements. The company also provides molecular biology and cell culture products which includes real time PCR, nucleic acid isolation, NA and PCR electrophoresis, protein electrophoresis, enzymes, antibiotics, agaroses and molecular biology media, media and buffers for in vitro cultures, phenotypic micromatrices, plastics and small equipment, basic substrate components, and form. In addition, it offers laboratory diagnostics solutions for various areas of clinical chemistry, haematology, coagulology, immunochemistry, POCT, rapid tests, and blood collection systems; and disposable materials comprising microbiology, dispensing equipment, tubes, plugs, tripods, capillaries, equipment, aspiration-vacuum system, cont…
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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.