Lexicon Pharmaceuticals, Inc (LXRX) Fair Value & Analysis
Healthcare · US · Market cap $893M
Analysis
Lexicon Pharmaceuticals, Inc (LXRX) currently trades at $2.16, while our model-based Fair Value estimate is $1.09 — implying the stock looks roughly 49.5% 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
Lexicon Pharmaceuticals, Inc., a biopharmaceutical company, focuses on the discovery, development, and commercialization of pharmaceutical products for the treatment of human disease. The company develops sotagliflozin, an orally-delivered small molecule drug for the treatment of hypertrophic cardiomyopathy, and ZYNQUISTA (sotagliflozin) for the treatment of type 1 diabetes. It also commercializes INPEFA (sotagliflozin), a once-daily oral tablet to reduce the risk of cardiovascular death, hospitalization for heart failure, and urgent heart failure visit in adults with heart failure or type 2 diabetes, CKD, and other cardiovascular risk factors. In addition, the company develops LX9851, an orally-delivered small molecule drug candidate for the treatment of obesity and associated cardiometabolic disorders, and pilavapadin (LX9211), an orally-delivered small molecule drug candidate for the treatment of neuropathic pain. It has strategic collaboration and license agreements with Viatris…
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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.