Nuvalent, Inc (NUVL) Fair Value & Analysis
Healthcare · US · Market cap $7.2B
Fair value as of: Jun 24, 2026
Analysis
Nuvalent, Inc (NUVL) currently trades at $123.44, while our model-based Fair Value estimate is $76.36 — implying the stock looks roughly 38.1% 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
Nuvalent, Inc., a clinical-stage biopharmaceutical company, engages in the development of therapies for patients with cancer. Its lead product candidates are Zidesamtinib (NVL-520), a novel ROS1-selective inhibitor to address the clinical challenges of emergent treatment resistance, central nervous system (CNS)-related adverse events, and brain metastases that may limit the use of ROS1 tyrosine kinase inhibitors (TKIs) for patients with ROS proto-oncogene 1 (ROS1)-positive non-small cell lung cancer (NSCLC) which is under the Phase 2 portion of the ARROS-1 Phase 1/2 clinical trial; Neladalkib (NVL-655), a brain-penetrant ALK-selective inhibitor, to address the clinical challenges of emergent treatment resistance, CNS-related adverse events, and brain metastases that might limit the use of first-, second-, and third-generation ALK inhibitors that is under the Phase 2 portion of the ALKOVE-1 clinical trial; and NVL-330, a brain-penetrant human epidermal growth factor receptor 2 (HER2)…
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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.