United Natural Foods, Inc (UNFI) Fair Value & Analysis
Consumer Defensive · US · Market cap $3.2B
Analysis
United Natural Foods, Inc (UNFI) currently trades at $51.18, while our model-based Fair Value estimate is $5.98 — implying the stock looks roughly 88.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium).
About the company
United Natural Foods, Inc., together with its subsidiaries, engages in the distribution of natural, organic, specialty, produce, and conventional grocery and non-food products in the United States and Canada. It operates in three segments: Natural, Wholesale, and Retail. The company distributes grocery and general merchandise, perishables, frozen food, wellness and personal care items, bulk and foodservice, home, health and beauty care, pharmacy, pet food, produce, meat, dairy, and organic/non-GMO products under the ESSENTIAL EVERYDAY, SHOPPERS VALUE, WILD HARVEST, Field Day, STONE RIDGE CREAMERY, EQUALINE, CULINARY CIRCLE, and WOODSTOCK brands. It also engages in the manufacture of natural and organic snack food; importing, roasting, packaging, and distributing of nuts, dried fruit, seeds, trail mixes, granola, natural and organic snack items, and confections under the Woodstock Farms Manufacturing brand; and operation of grocery and liquor stores under the Cub Foods and Shoppers b…
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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.