Mattel, Inc (MAT) Fair Value & Analysis
Consumer Cyclical · US · Market cap $4.2B
Fair value as of: Jun 24, 2026
Analysis
Mattel, Inc (MAT) currently trades at $13.77, while our model-based Fair Value estimate is $19.30 — implying the stock looks roughly 40.2% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Mattel, Inc., a play and family entertainment company, designs, manufactures, markets, and sells toys, games, and other products in North America, Europe, the Middle East, Africa, Latin America, and the Asia Pacific. The company offers dolls and accessories, books, content, and lifestyle products for children under the Barbie, American Girl, Disney Princess, Disney Frozen, Monster High, Polly Pocket, and KPop Demon Hunters brands; die-cast vehicles, tracks, playsets, and accessories for kids, adults, and collectors under the Hot Wheels, Hot Wheels Monster Trucks, Hot Wheels RC, Matchbox, and Matchbox, and Cars brands; and infant, toddler, and preschool products comprising toys, content, live events, and other consumer products under the Fisher-Price, Little People, Thomas & Friends, and Power Wheels brands. It also provides action figures, building sets, games, and other products under the Masters of the Universe, Mattel Brick Shop, MEGA, UNO, Jurassic World, Minecraft, WWE, Toy Sto…
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Frequently asked questions
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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.