Bausch + Lomb Corporation (BLCO) Fair Value & Analysis
Healthcare · US · Market cap $5.3B
Analysis
Bausch + Lomb Corporation (BLCO) currently trades at $15.51, while our model-based Fair Value estimate is $9.93 — implying the stock looks roughly 36.0% overvalued today. We read business quality at 94/100 (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: low).
About the company
Bausch + Lomb Corporation operates as an eye health company in the United States, Puerto Rico, China, France, Japan, Germany, the United Kingdom, Canada, Russia, Spain, Italy, Mexico, Poland, and internationally. It operates in three segments: Vision Care, Pharmaceuticals, and Surgical. The Vision Care segment provides contact lens that covers the spectrum of wearing modalities, including daily disposable and frequently replaced contact lenses; and contact lenses that are indicated for therapeutic use and provide optical correction during healing. It also offers contact lens care products, eye vitamins, mineral supplements, and over-the-counter eye drops that address various conditions, such as eye allergies, conjunctivitis, dry eye, and redness relief. The Pharmaceuticals segment offers proprietary and generic pharmaceutical products for post-operative treatments, as well as for the treatment of glaucoma, eye inflammation, ocular hypertension, dry eyes, and retinal diseases. The Su…
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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.