Amneal Pharmaceuticals, Inc (AMRX) Fair Value & Analysis
Healthcare · US · Market cap $4.3B
Fair value as of: Jun 24, 2026
Analysis
Amneal Pharmaceuticals, Inc (AMRX) currently trades at $16.66, while our model-based Fair Value estimate is $9.64 — implying the stock looks roughly 42.1% overvalued today. We read business quality at 92/100 (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: high).
About the company
Amneal Pharmaceuticals, Inc., a global biopharmaceutical company, develops, manufactures, markets, and distributes generics, injectables, biosimilars, and specialty branded pharmaceutical products in the United States, India, Ireland, and internationally. The company operates through three segments: Affordable Medicines, Specialty, and AvKARE. The Affordable Medicines segment offers dosage forms and delivery systems, which include immediate and extended-release oral solids, powders, liquids, sterile injectables, nasal sprays, inhalation and respiratory products, biosimilar products, ophthalmics, films, transdermal patches, and topicals. The Specialty segment develops, promotes, sells, and distributes pharmaceutical products with a focus on central nervous system and endocrine disorders, including Parkinson's disease. This segment provides Rytary, an oral capsule formulation of carbidopa-levodopa to treat Parkinson's disease, post-encephalitic parkinsonism, and parkinsonism; Unithroi…
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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.