Culp, Inc (CULP) Fair Value & Analysis
Consumer Cyclical · US · Market cap $40.5M
Fair value as of: Jun 25, 2026
Analysis
Culp, Inc (CULP) currently trades at $3.10, while our model-based Fair Value estimate is $1.41 — implying the stock looks roughly 54.5% 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: low).
About the company
Culp, Inc. manufactures, sources, and sells fabrics and mattress covers, sewn covers, and cut and sewn kits for use in mattresses, foundations, and other bedding products in the United States, North America, the Far East, Asia, and internationally. The company operates through two segments, Mattress Fabrics and Upholstery Fabrics. The Mattress Fabrics segment offers woven jacquard, knitted, sewn mattress covers and converted fabrics for use in the production of bedding products, including mattresses, box springs, foundations, and top of bed components. The Upholstery Fabrics segment provides jacquard woven fabrics, velvets, woven dobbies, microdenier suedes and polyurethane fabrics for use in the production of residential and commercial upholstered furniture, including sofas, recliners, chairs, loveseats, sectionals, sofa-beds, and seating for offices, healthcare facilities; hospitality industry, including seating for restaurants, hotels, and theaters and window treatment products; …
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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.