JS Global Lifestyle Company (JGLCF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $448M
Fair value as of: Jun 26, 2026
Analysis
JS Global Lifestyle Company (JGLCF) currently trades at $0.1290, while our model-based Fair Value estimate is $0.5300 — implying the stock looks roughly 310.9% undervalued today. We read business quality at 80/100 (high quality), in the Consumer Cyclical 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
JS Global Lifestyle Company Limited engages in the design, manufacture, marketing, distribution, and export of small kitchen electrical appliances in Mainland China, Japan, Australia, New Zealand, and internationally. It operates in two segments: Joyoung and SharkNinja APAC. The company offers cooking appliances, including rice cookers, pressure cookers, induction cookers, air fryers, and other appliances and utensils for cooking; and food preparation appliances, such as high-performance multifunctional blenders, soymilk makers, food processors, and other small household appliances that facilitate the food preparation process. It offers cleaning appliances comprising upright vacuums, cordless and corded stick vacuums, and other floor care products; and others small household appliances, such as water purifiers, water heaters, thermos, hair-dryer, and electric fan. In addition, the company is involved in the provision of enterprise management, advertising and consultancy, marketing, …
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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.