Atlas Copco AB (ATLCY) Fair Value & Analysis
Industrials · US · Market cap $86.5B
Fair value as of: Jun 24, 2026
Analysis
Atlas Copco AB (ATLCY) currently trades at $17.34, while our model-based Fair Value estimate is $7.51 — implying the stock looks roughly 56.7% 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
Atlas Copco AB (publ) provides compressed air and gas, air treatment systems, vacuum, industrial power tools and assembly systems, machine vision, and power and flow solutions in North America, South America, Europe, Africa, the Middle East, Asia, and Oceania. It operates through Compressor Technique, Vacuum Technique, Industrial Technique, and Power Technique segments. The company offers piston compressors, oil-free tooth and scroll compressors, rotary screw compressors, oil-free blowers, oil-free centrifugal compressors, gas and process compressors, air and gas treatment equipment, expanders and pumps, and medical air solutions. It also provides oil-sealed rotary vane, dry, and liquid ring vacuum pumps; turbomolecular and cryogenic pumps; abatement and integrated systems; industrial assembly tools and solutions; self-pierce riveting solutions; adhesive dispensing and flow drill fastening equipment; material removal tools, and drills and other pneumatic products; machine vision sol…
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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.