Nathan's Famous, Inc (NATH) Fair Value & Analysis
Consumer Cyclical · US · Market cap $416M
Fair value as of: Jun 24, 2026
Analysis
Nathan's Famous, Inc (NATH) currently trades at $100.98, while our model-based Fair Value estimate is $77.17 — implying the stock looks roughly 23.6% overvalued today. We read business quality at 97/100 (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
Nathan's Famous, Inc., along with its subsidiaries, operates in the foodservice industry both in the United States and internationally. It operates through three segments: Branded Product Program; Product licensing; and Restaurant operations. The company owns and franchises restaurants under the Nathan's Famous brand name and sells products bearing the Nathan's Famous trademarks through various distribution channels. It also has license agreements for the manufacture, distribution, marketing, and sale of Nathan's Famous branded beef hot dogs, crinkle-cut french fries, and sausages in refrigerated consumer packages, which are resold through retail channels such as supermarkets, grocery stores, mass merchandisers, and club stores. In addition, the company has license agreements to manufacture Nathan's Famous branded hot dog and sausage products in bulk for use in the foodservice industry, supply Nathan's Famous natural casing and skinless hot dogs in bulk for use in the Nathan's Famou…
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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.