Goodfellow Inc (GFELF) Fair Value & Analysis
Basic Materials · US · Market cap $69.9M
Fair value as of: Jun 24, 2026
Analysis
Goodfellow Inc (GFELF) currently trades at $8.40, while our model-based Fair Value estimate is $9.02 — implying the stock looks roughly 7.4% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Goodfellow Inc. engages in the wholesale distribution of building materials and floor coverings in Canada, the United States, and the United Kingdom. The company offers decking products, such as accessories, composite, framing, and wood products for outdoor spaces; flooring products, including ceramic, engineered, hardwood, laminate, stone product composite, sub-floor and accessories, and vinyl and WPC flooring products; and insulation and soundproofing products. It also provides lumber products, including cedar, douglas fir, engineered wood, goodlam, hardwood, hemlock, lumber, mining, pine, and treated wood and plywood; panel products comprising construction plywood, door core, hardwood plywood, medium density fiberboard and HDF, melamine, and oriented strand board; and roofing shingles and other roofing products. In addition, the company offers siding, consisting of accessories, engineered wood siding, pressure treated wood siding, and real wood; ceiling, hardware, and solid surfa…
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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.