Recursion Pharmaceuticals, Inc (RXRX) Fair Value & Analysis
Healthcare · US · Market cap $1.7B
Analysis
Recursion Pharmaceuticals, Inc (RXRX) currently trades at $3.23, while our model-based Fair Value estimate is $0.8900 — implying the stock looks roughly 72.4% 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
Recursion Pharmaceuticals, Inc., a clinical-stage biotechnology company, engages in the decoding biology and chemistry by integrating technological innovations across biology, chemistry, automation, data science, and engineering to industrialize drug discovery in the United States and the United Kingdom. The company develops REC-4881, which is in Phase 1b/2 clinical trial to treat familial adenomatous polyposis; REC-617, which is in Phase 1/2 clinical trial to treat advanced solid tumors; REC-1245, which is in Phase 1/2 clinical trial to treat biomarker-enriched solid tumors and lymphoma; REC-3565 that is in Phase 1/2 for the treatment of relapsed or refractory B-cell malignancies; and REC-4539, a reversible, CNS penetrant, orally bioavailable, and potential best-in-class inhibitor of LSD1 for the treatment of solid tumors and hematology oncology. Its preclinical stage product includes REC-7735 for the treatment of HR+ breast cancer; and REC-102 for the treatment of hypophosphatasia…
Open the full interactive analysis →
Similar stocks
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.