BML, Inc (BMLKF) Fair Value & Analysis
Healthcare · US · Market cap $945M
Analysis
BML, Inc (BMLKF) currently trades at $25.21, while our model-based Fair Value estimate is $31.31 — implying the stock looks roughly 24.2% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
BML, Inc. provides contract clinical testing and related services in Japan. The company offers a range of laboratory testing, such as biochemical and hematologic examination; laboratory test, including tumor markers, infectious diseases, hormones, cellular immunity, genetics, bacteriological tests, and other test; specialized testing in oncology, infectious diseases, diabetes, hypertension, allergies, genetics, and more areas, as well as develops Frontier and Symphony automation systems, which automate pre-testing from specimen sorting to dispensing. It also provides contract clinical testing, including endocrine, plasma protein, biochemical, viral, immunoserological, hematological, cellular immunity, bacteriological, and histopathological, pathological, and cytological tests; specimen receiving service; and medical information system services, which include electronic medical charts for clinics without beds. In addition, the company is involved in manufacturing and supply services …
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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.