Biodesix, Inc (BDSX) Fair Value & Analysis
Healthcare · US · Market cap $158M
Fair value as of: Jun 23, 2026
Analysis
Biodesix, Inc (BDSX) currently trades at $17.35, while our model-based Fair Value estimate is $29.91 — implying the stock looks roughly 72.4% 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: low) — always confirm before acting.
About the company
Biodesix, Inc. operates as a diagnostic solutions company. The company offers blood-based lung tests, including Nodify XL2 and Nodify CDT tests markets as Nodify Lung Nodule Risk Assessment testing to assess the risk of lung cancer and help in identifying the appropriate treatment pathway and help physicians in reclassifying risk of malignancy in patients with suspicious lung nodules. It also provides GeneStrat ddPCR, GeneStrat NGS, and VeriStrat tests markets as part of IQLung testing strategy, which are used in the diagnosis of lung cancer to measure the presence of mutations in the tumor and the state of the patient's immune system to guide treatment decisions. In addition, the company provides diagnostic solutions, including translational research, initial biomarker discovery, assay design, development and validation, testing of clinical trial samples, regulatory, reimbursement, commercialization, and logistical support services for biopharmaceutical, life sciences, and diagnost…
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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.