Forum Energy Technologies, Inc (FET) Fair Value & Analysis
Energy · US · Market cap $582M
Analysis
Forum Energy Technologies, Inc (FET) currently trades at $50.23, while our model-based Fair Value estimate is $17.26 — implying the stock looks roughly 65.6% overvalued today. We read business quality at 95/100 (high quality), in the Energy 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
Forum Energy Technologies, Inc. designs, manufactures, and supplies products serving the oil, natural gas, defense, and renewable energy industries in the United States and internationally. It operates through two segments, Drilling and Completions; and Artificial Lift and Downhole. The Drilling and Completions segment designs, manufactures, and supplies products and solutions to the drilling, subsea, coiled tubing, well stimulation, and intervention markets, including applications in oil and natural gas, renewable energy, defense, and communications industries. This segment also offers drilling capital equipment and consumable products; subsea remotely operated vehicles and trenchers, submarine rescue vehicles, specialty components and tooling, and technical services; hydraulic fracturing pumps, cooling systems, and high-pressure flexible hoses and flow iron; wireline cable and pressure control equipment; and coiled tubing strings and pressure control equipment, as well as coiled l…
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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.