SkinHealth Systems Inc (SKIN) Fair Value & Analysis
Consumer Defensive · US · Market cap $85.7M
Fair value as of: Jun 25, 2026
Analysis
SkinHealth Systems Inc (SKIN) currently trades at $0.6600, while our model-based Fair Value estimate is $2.35 — implying the stock looks roughly 256.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium) — always confirm before acting.
About the company
SkinHealth Systems Inc., a global medical aesthetics company delivering an integrated ecosystem of clinically proven solutions in the Americas, the Asia-Pacific, Europe, the Middle East, Africa, Canada, and Latin America. The company's flagship product is HydraFacial, which enhances the skin to cleanse, extract, and hydrate the skin with proprietary solutions and serums. It also offers Syndeo devices, which are delivery systems that are designed to connect providers to the consumer's preferences to create a more personalized experience; consumables, such as single-use tips, solutions, and serums used to provide a hydrafacial treatment; SkinStylus SteriLock Microsystem, a microneedling and nanoneedling device used for the treatment of enhancing appearance of surgical or traumatic hypertrophic scars on the abdomen and facial acne scarring in Fitzpatrick skin types I, II, and III; and Keravive peptide solutions and take home sprays for treating scalp health. In addition, it operates th…
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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.