Interface, Inc (TILE) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.9B
Analysis
Interface, Inc (TILE) currently trades at $32.41, while our model-based Fair Value estimate is $25.69 — implying the stock looks roughly 20.7% 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
Interface, Inc. designs, produces, and sells modular carpet products in the United States, Canada, Latin America, Europe, Africa, Asia, and Australia. The company offers modular carpets; luxury vinyl tiles; modular resilient flooring products; rubber flooring; and carpet tiles used in commercial interiors, include offices, educational facilities, healthcare facilities, airports, hospitality spaces, retail spaces, and residential interiors. It also provides carpet replacement, installation, and maintenance services; and other products and services, including TacTiles carpet tile installation system and adhesives and products for carpet installation and maintenance, as well as project management services. The company sells its products under the Interface, FLOR, NORAPLAN, and NORAMENT brands through direct sales to end users and indirect sales through independent contractors, installers and distributors. Interface, Inc. was incorporated in 1973 and is headquartered in Atlanta, Georgia.
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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.