Black Diamond Therapeutics, Inc (BDTX) Fair Value & Analysis
Healthcare · US · Market cap $95.7M
Fair value as of: Jun 25, 2026
Analysis
Black Diamond Therapeutics, Inc (BDTX) currently trades at $1.86, while our model-based Fair Value estimate is $4.81 — implying the stock looks roughly 158.6% 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: high) — always confirm before acting.
About the company
Black Diamond Therapeutics, Inc., a clinical-stage oncology company, focuses on the discovery and development of MasterKey therapies for patients with genetically defined tumors. The company's lead product candidate is silevertinib, a brain-penetrant epidermal growth factor receptor MasterKey inhibitor, which is in Phase 2 clinical trial for the treatment of epidermal growth factor receptor mutant non-small cell lung cancer, as well as Phase 2 clinical trial to treat glioblastoma. It is also developing BDTX-4933, a brain-penetrant RAF MasterKey inhibitor targeting KRAS, NRAS, and BRAF alterations in solid tumors that is in Phase 1 clinical trial. In addition, the company is developing BDTX-4876, a MasterKey inhibitor of oncogenic FGFR2/3 mutations with selectivity versus FGFR1/4, which is in preclinical stage. The company was formerly known as ASET Therapeutics, Inc. and changed its name to Black Diamond Therapeutics, Inc. in January 2018. Black Diamond Therapeutics, Inc. was incorp…
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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.