Nu Skin Enterprises, Inc (NUS) Fair Value & Analysis
Consumer Defensive · US · Market cap $244M
Fair value as of: Jun 24, 2026
Analysis
Nu Skin Enterprises, Inc (NUS) currently trades at $5.16, while our model-based Fair Value estimate is $23.79 — implying the stock looks roughly 361.0% 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: low) — always confirm before acting.
About the company
Nu Skin Enterprises, Inc., together with its subsidiaries, engages in the development and distribution of various beauty and wellness products worldwide. It offers skin care devices, cosmetics, and other personal care products, including ageLOC LumiSpa, ageLOC LumiSpa iO, and Nu Skin RenuSpa iO; ageLOC TruFace and ageLOC LumiSpa cleansers and devices; Prysm iO, a data-enabled wellness device; and Nutricentials beauty and Beauty Focus wellness brands. The company also provides wellness products, such as ageLOC TRME, LifePak, and Beauty Focus. In addition, it is the research and product development of skin care products, nutritional supplements, and devices. The company sells its products under the Nu Skin, Pharmanex, and ageLOC brands through retail stores, website, digital platforms, and independent direct sellers and marketers, as well as a service center and independent marketers. It serves Mainland China; South Korea; Southeast Asia/Pacific, which includes Indonesia, Malaysia, 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.