Fluor Corporation (FLR) Fair Value & Analysis
Industrials · US · Market cap $7.0B
Fair value as of: Jun 25, 2026
Analysis
Fluor Corporation (FLR) currently trades at $53.17, while our model-based Fair Value estimate is $10.38 — implying the stock looks roughly 80.5% 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: low).
About the company
Fluor Corporation provides engineering, procurement, and construction (EPC); fabrication and modularization; and project management services worldwide. The company operates through three segments: Urban Solutions, Energy Solutions, and Mission Solutions. The Urban Solutions segment offers EPC and project management services to the advanced technologies and manufacturing, life sciences, mining and metals, and infrastructure industries. This segment also provides professional staffing services to the company and third-party clients with technical, professional, and craft resources on a contract or permanent placement basis, as well as maintenance services. The Energy Solutions segment offers EPC services for traditional oil and gas markets, including the production and fuels, chemicals, LNG, and power markets. This segment also provides solutions to the energy transition markets, including nuclear power and other low-carbon energy sources, asset decarbonization, carbon capture, renewa…
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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.