Supernus Pharmaceuticals, Inc (SUPN) Fair Value & Analysis
Healthcare · US · Market cap $2.6B
Analysis
Supernus Pharmaceuticals, Inc (SUPN) currently trades at $44.48, while our model-based Fair Value estimate is $14.33 — implying the stock looks roughly 67.8% 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: medium).
About the company
Supernus Pharmaceuticals, Inc., a biopharmaceutical company, engages in the development and commercialization of products for the treatment of central nervous system (CNS) diseases in the United States. It offers Qelbree, a non-stimulant indicated for the treatment of attention-deficit hyperactivity disorder (ADHD); GOCOVRI for the treatment of dyskinesia and levodopa/carbidopa in patients with Parkinson's Disease (PD); Oxtellar XR, an extended-release oxcarbazepine product indicated for the monotherapy treatment of partial onset epilepsy seizures; and APOKYN for the acute and intermittent treatment of hypomobility or off episodes in patients with advanced PD. It also provides Trokendi XR, an extended release topiramate product indicated for the treatment of epilepsy, as well as for the prophylaxis of migraine headache; XADAGO for the treatment of levodopa/carbidopa in patients with PD experiencing off episodes; and MYOBLOC, a Type B toxin product indicated for the treatment of cerv…
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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.