Sight Sciences, Inc (SGHT) Fair Value & Analysis
Healthcare · US · Market cap $287M
Fair value as of: Jun 24, 2026
Analysis
Sight Sciences, Inc (SGHT) currently trades at $5.41, while our model-based Fair Value estimate is $5.29 — implying the stock looks roughly 2.2% 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: low).
About the company
Sight Sciences, Inc., an ophthalmic medical device company, focuses on the development and commercialization of surgical and nonsurgical technologies for the treatment of eye prevalent diseases in the United States. The company operates in two segments, Surgical Glaucoma and Dry Eye. It offers OMNI, a surgical system family of products, such as OMNI Ergo for the catheterization and transluminal viscodilation of Schlemm's canal and cutting of the trabecular meshwork to reduce intraocular pressure in adult patients with open-angle glaucoma; and OMNI EDGE, an implant-free and minimally invasive glaucoma surgery technology. The company also provides SION, a bladeless and manually operated device used in ophthalmic surgical procedures to excise trabecular meshwork; and TearCare system, a proprietary, interventional, dry eye device designed to melt and facilitate the comprehensive removal of meibomian gland obstructions and restore gland functionality and healthy oil production for adult …
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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.