Lifetime Brands, Inc (LCUT) Fair Value & Analysis
Consumer Cyclical · US · Market cap $193M
Fair value as of: Jun 24, 2026
Analysis
Lifetime Brands, Inc (LCUT) currently trades at $8.41, while our model-based Fair Value estimate is $2.51 — implying the stock looks roughly 70.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high).
About the company
Lifetime Brands, Inc. designs, sources, and sells branded kitchenware, tableware, and other home solution products for use in the home, and market in the United States and internationally. The company offers kitchenware products, including kitchen tools, cutlery, kitchen scales, thermometers, cutting boards, shears, cookware, pantryware, spice racks, and bakeware; and tableware products comprising dinnerware, stemware, flatware, and giftware. It also provides home solutions, such as thermal beverageware, bath scales, weather and outdoor household, food storage, neoprene travel, and home décor products. It owns or licenses various brands, including the Built, Chef'n, Chicago Metallic, Copco, Dolly Parton, Elements, Farberware, Fitz & Floyd, Fred & Friends, Hoffritz, International Silver, Kamenstein, KitchenAid, Kizmos, Melannco, Mikasa, Mikasa Hospitality, Misto, Pfaltzgraff, PlanetBox, Rabbit, Sabatier, S'well, Taylor, Towle, Wallace, Wilton Armetale, and Year & Day. It serves mass …
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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.