Ironwood Pharmaceuticals, Inc (IRWD) Fair Value & Analysis
Healthcare · US · Market cap $583M
Analysis
Ironwood Pharmaceuticals, Inc (IRWD) currently trades at $3.86, while our model-based Fair Value estimate is $3.56 — implying the stock looks roughly 7.8% 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: high).
About the company
Ironwood Pharmaceuticals, Inc., a biotechnology company, focuses on the development and commercialization of therapies for gastrointestinal (GI) and rare diseases in the United States and internationally. It sells linaclotide, a guanylate cyclase type-C (GC-C) agonist for the treatment of adults suffering from irritable bowel syndrome with constipation or chronic idiopathic constipation, as well as for pediatric patients suffering from functional constipation under the LINZESS and CONSTELLA names. The company is also developing IW-3300, a GC-C agonist for the treatment of visceral pain conditions, including interstitial cystitis/bladder pain syndrome and endometriosis; and Apraglutide, a synthetic peptide long-acting analog of glucagon-like peptide-2 for short bowel syndrome patients dependent on parenteral support, as well as for acute graft versus host disease. It has strategic partnerships with AbbVie Inc., AstraZeneca AB, and Astellas Pharma Inc. for the development and commerci…
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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.