Organon & Co (OGN) Fair Value & Analysis
Healthcare · US · Market cap $3.5B
Analysis
Organon & Co (OGN) currently trades at $13.45, while our model-based Fair Value estimate is $15.67 — implying the stock looks roughly 16.5% 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
Organon & Co. develops and delivers women health solutions through prescription therapies and medical devices in the United States, Europe, Canada, Japan, rest of the Asia Pacific, China, Latin America, the Middle East, Russia, Africa, and internationally. The company's women's health portfolio comprises contraception and fertility brands, such as Nexplanon, a long-acting reversible contraceptive; NuvaRing, a monthly vaginal contraceptive ring; Cerazette, Marvelon, and Mercilon to prevent pregnancy; Follistim AQ, which is used to promote development of ovarian follicles; Elonva, a follicle stimulant; Ganirelix acetate injection, an injectable antagonist; Jada for abnormal postpartum uterine bleeding and hemorrhage; and Xaciato for bacterial vaginosis. Its biosimilars portfolio consists of immunology products, such as Brenzys, Renflexis, and Hadlima; oncology products, including Ontruzant and Aybintio; Bildyos and Bilprevda, a recombinant anti-RANKL human monoclonal antibodies; and P…
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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.