Lyell Immunopharma, Inc (LYEL) Fair Value & Analysis
Healthcare · US · Market cap $297M
Fair value as of: Jun 25, 2026
Analysis
Lyell Immunopharma, Inc (LYEL) currently trades at $13.00, while our model-based Fair Value estimate is $7.25 — implying the stock looks roughly 44.2% 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
Lyell Immunopharma, Inc., a clinical-stage cell therapy company, develops chimeric antigen receptor (CAR) T-cell product candidates for patients with hematologic malignancies and solid tumors. The company's lead product candidate include rondecabtagene autoleucel, an autologous dual-targeting CD19/CD20 CAR T-cell therapy in development, which is in pivotal PiNACLE trial in the 3L+ setting and in a Phase 1/2 clinical trial in the 2L setting, as well as a second pivotal trial, PiNACLE-H2H, which is a Phase 3 head-to-head CAR T cell therapy randomized controlled trial of ronde-cel for LBCL in the 2L setting for the treatment of large B-cell lymphoma; and LYL273, a GCC-targeted CAR T-cell product candidate enhanced with CD19 CAR expression and controlled cytokine release designed to improve CAR T-cell expansion, immune cell infiltration, and cancer cell killing in the hostile solid tumor microenvironment, which is in Phase 1 clinical trial for the treatment of refractory metastatic colo…
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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.