Illinois Tool Works Inc (ILT) Fair Value & Analysis
Industrials · DE · Market cap €61.3B
Fair value as of: Jun 24, 2026
Analysis
Illinois Tool Works Inc (ILT) currently trades at €231.80, while our model-based Fair Value estimate is €111.84 — implying the stock looks roughly 51.8% 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
Illinois Tool Works Inc. provides industrial products and equipment in North America, Europe, the Middle East, Africa, the Asia Pacific, and South America. It operates through seven segments: Automotive OEM; Food Equipment; Test & Measurement and Electronics; Welding; Polymers & Fluids; Construction Products; and Specialty Products. The Automotive OEM segment offers plastic and metal components, fasteners, and assemblies for automobiles, light trucks, and other industrial uses. The Food Equipment segment provides warewashing, cooking, refrigeration, and food processing equipment; kitchen exhaust, ventilation, and pollution control systems; and food equipment maintenance and repair services. The Test & Measurement and Electronics segment produce and sells test and measurement; and electronic manufacturing and maintenance, repair, and operations solutions. The Welding segment produces arc welding equipment, and metal arc welding consumables and related accessories. The Polymers & Flui…
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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.