Relay Therapeutics, Inc (RLAY) Fair Value & Analysis
Healthcare · US · Market cap $3.2B
Analysis
Relay Therapeutics, Inc (RLAY) currently trades at $17.44, while our model-based Fair Value estimate is $11.71 — implying the stock looks roughly 32.9% 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
Relay Therapeutics, Inc. operates as a clinical-stage precision medicines company. It transforms the drug discovery process with a focus on enhancing small molecule therapeutic discovery in targeted oncology and genetic disease indications. The company's lead product candidates include RLY-2608, a pan-mutant and isoform-selective phosphoinostide 3 kinase alpha, or PI3Ka, inhibitor that is in clinical development for the treatment of breast cancer, solid tumor, and vascular malformations; and aGal chaperone for Fabry diseases. It also develops RLY-8161, an oncogene driver that belongs to the RAS family of signaling proteins. In addition, the company develops lirafugratinib (RLY-4008), a receptor tyrosine kinase for the treatment of cancer. It has collaboration and license agreements with D. E. Shaw Research, LLC to research certain biological targets through the use of D. E. Shaw Research computational modeling capabilities focused on analysis of protein motion to develop and commerc…
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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.