Enerpac Tool Group (EPAC) Fair Value & Analysis
Industrials · US · Market cap $1.8B
Analysis
Enerpac Tool Group (EPAC) currently trades at $35.38, while our model-based Fair Value estimate is $25.93 — implying the stock looks roughly 26.7% 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
Enerpac Tool Group Corp. manufactures and sells a range of industrial products and solutions in the United States, the United Kingdom, Germany, Australia, Canada, China, Saudi Arabia, Brazil, France, the Netherlands, and internationally. The company designs, manufactures, and distributes branded hydraulic and mechanical tools; and provides services and tool rentals to the infrastructure, industrial maintenance, repair and operations, oil and gas, mining, alternative and renewable energy, civil construction, and other markets. It also offers branded tools, cylinders, pumps, hydraulic torque wrenches, highly engineered heavy lifting technology solutions, and other tools; and maintenance and manpower services; high-force hydraulic and mechanical tools, including cylinders, pumps, valves, bolt tensioners, specialty tools and other miscellaneous products. The company markets its branded tools and services primarily under the ENERPAC, HYDRATIGHT, LARZEP, DTA the Smart Move, and SIMPLEX br…
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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.