Collegium Pharmaceutical, Inc (COLL) Fair Value & Analysis
Healthcare · US · Market cap $1.1B
Fair value as of: Jun 24, 2026
Analysis
Collegium Pharmaceutical, Inc (COLL) currently trades at $34.62, while our model-based Fair Value estimate is $42.65 — implying the stock looks roughly 23.2% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Collegium Pharmaceutical, Inc., a specialty pharmaceutical company, engages in the development and commercialization of medicines for pain management. The company's portfolio includes Jornay PM, a central nervous system stimulant prescription medicine that contains methylphenidate HCl for the treatment of attention deficit hyperactivity disorder; Belbuca, a buccal film that contains buprenorphine for severe and persistent pain that requires an extended treatment period; Xtampza ER, an abuse-deterrent, extended-release, oral formulation of oxycodone for the management of pain severe enough to require daily; Nucynta ER and Nucynta IR, which are extended-release and immediate-release oral formulations of tapentadol, indicated for the management of acute, severe, and persistent pain; and Symproic, an oral formulation of naldemedine for the treatment of opioid-induced constipation in adult patients with chronic non-cancer pain. Collegium Pharmaceutical, Inc. was formerly known as Collegi…
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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.