Olema Pharmaceuticals, Inc (OLMA) Fair Value & Analysis
Healthcare · US · Market cap $831M
Analysis
Olema Pharmaceuticals, Inc (OLMA) currently trades at $11.14, while our model-based Fair Value estimate is $5.27 — implying the stock looks roughly 52.7% 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
Olema Pharmaceuticals, Inc., a clinical-stage biopharmaceutical company, focuses on the discovery, development, and commercialization of therapies for women's cancers. The company's lead product candidate is palazestrant, an estrogen receptor (ER) antagonist and a selective ER degrader, which is in Phase 3 clinical trial for the treatment of recurrent, locally advanced, or metastatic ER-positive, human epidermal growth factor receptor 2-negative breast cancer; OPERA-01, the pivotal Phase 3 clinical trial of palazestrant as a monotherapy in second/third-line ER+/HER2- metastatic breast cancer; and palazestrant with CDK4/6 inhibitors, a phosphatidylinositol 3 kinase alpha (PI3Ka) inhibitor alpelisib, a mechanistic target of rapamycin inhibitor, and a CDK4 inhibitor that is in Phase 1b/2 clinical trial for the treatment of ER+/HER2- advanced or metastatic breast cancer. It also develops OP-3136, an orally-available small molecule that potently and selectively inhibits KAT6 which is in …
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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.