Alumis Inc (ALMS) Fair Value & Analysis
Healthcare · US · Market cap $2.6B
Fair value as of: Jun 24, 2026
Analysis
Alumis Inc (ALMS) currently trades at $24.51, while our model-based Fair Value estimate is $10.98 — implying the stock looks roughly 55.2% overvalued today. We read business quality at 91/100 (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
Alumis Inc., a clinical stage biopharmaceutical company, focuses on the development and commercialization of medicines for autoimmune disorders. The company offers envudeucitinib, a tyrosine kinase 2 (TYK2) inhibitor for the treatment of plaque psoriasis and systemic lupus erythematosus; and A-005, a central nervous system-penetrant allosteric TYK2 inhibitor that is in Phase 1 for the treatment of neuroinflammatory and neurodegenerative diseases. It also develops lonigutamab, a monoclonal antibody targeting IGF-1R for the treatment of thyroid eye diseases; and interferon regulatory factor 5 (IRF5) to address immune dysfunction. The company was formerly known as Esker Therapeutics, Inc. and changed its name to Alumis Inc. in January 2022. Alumis Inc. was incorporated in 2021 and is headquartered in South San Francisco, California.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Alumis Inc (ALMS) undervalued?
What is the fair value of ALMS?
What is the quality score of ALMS?
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.