Amylyx Pharmaceuticals, Inc (AMLX) Fair Value & Analysis
Healthcare · US · Market cap $1.7B
Analysis
Amylyx Pharmaceuticals, Inc (AMLX) currently trades at $16.37, while our model-based Fair Value estimate is $12.35 — implying the stock looks roughly 24.6% 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
Amylyx Pharmaceuticals, Inc., a clinical-stage pharmaceutical company, engages in the discovery and development of treatment options for neurodegenerative diseases and endocrine conditions in the United States. It provides Avexitide, an investigational, first-in-class glucagon-like peptide-1, or GLP-1 receptor antagonist, which is in phase 3 clinical trial to treat post-bariatric hypoglycemia and congenital hyperinsulinism. The company also develops AMX0035, an oral, fixed-dose combination of sodium phenylbutyrate and taurursodiol which is phase 2 clinical trial for the treatment of wolfram syndrome, as well as in phase 2b/3 clinical trial to treat progressive supranuclear palsy; AMX0114, which is in phase 1 clinical trial for the treatment of amyotrophic lateral sclerosis; and long-acting GLP-1 receptor antagonist to treat post-bariatric hypoglycemia and other rare diseases. Further, it develops AMX0318, a GLP-1 receptor antagonist for the treatment of post-bariatric hypoglycemia a…
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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.