WD-40 Company (WDFC) Fair Value & Analysis
Basic Materials · US · Market cap $2.7B
Fair value as of: Jun 24, 2026
Analysis
WD-40 Company (WDFC) currently trades at $227.19, while our model-based Fair Value estimate is $109.61 — implying the stock looks roughly 51.8% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
WD-40 Company engages in the provision of maintenance products and homecare and cleaning products in North America, Central and South America, Asia, Australia, Europe, India, the Middle East, and Africa. The company offers multi-purpose maintenance products that include aerosol sprays, non-aerosol trigger sprays, precision pens, and in liquid-bulk form products under the WD-40 Multi-Use brand; specialty maintenance products, such as penetrants, degreasers, corrosion inhibitors, greases, lubricants, and rust removers under the WD-40 Specialist brand; drip and specialty oil lubricant, and specialty maintenance products under the 3-IN-ONE brand; and e bike maintenance products under the GT85 brand. It also provides automatic toilet bowl cleaners under the 2000 Flushes brand; aerosol and liquid trigger carpet stain and odor eliminators under the Spot Shot brand; room and rug deodorizers under the Carpet Fresh brand; bar soap and liquid hand cleaner products under the Lava and Solvol bra…
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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.