Griffon Corporation (GFF) Fair Value & Analysis
Industrials · US · Market cap $3.9B
Analysis
Griffon Corporation (GFF) currently trades at $90.33, while our model-based Fair Value estimate is $23.40 — implying the stock looks roughly 74.1% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Griffon Corporation, through its subsidiaries, provides home and building, and consumer and professional products in the United States, Europe, Canada, Australia, and internationally. The Home and Building Products segment manufactures and markets residential and sectional commercial garage doors, rolling steel service doors, fire doors, shutters, steel security grilles, and room dividers. This segment also sells garage door openers. Its Consumer and Professional Products segment manufactures and markets long-handled engineered tools, including shovels, spades, scoops, rakes, hoes, cultivators, weeders, post hole diggers, scrapers, edgers, and forks; wheelbarrows and lawn carts; snow tools comprising pushers, roof rakes, sled sleigh shovels, and ice scrapers; and pruning products, such as pruners, loppers, shears, and other tools. This segment also offers striking tools, including axes, picks, mattocks, mauls, wood splitters, sledgehammers, pry bars, and repair handles; hand tools c…
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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.