Core Laboratories Inc (CLB) Fair Value & Analysis
Energy · US · Market cap $539M
Analysis
Core Laboratories Inc (CLB) currently trades at $11.64, while our model-based Fair Value estimate is $5.43 — implying the stock looks roughly 53.4% overvalued today. We read business quality at 94/100 (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
Core Laboratories Inc. provides reservoir description and production enhancement services and products to the oil and gas industry in the United States, and internationally. It operates through Reservoir Description and Production Enhancement segments. The Reservoir Description segment includes the characterization of petroleum reservoir rock and reservoir fluid samples to enhance production and improve recovery of crude oil and natural gas from its clients' reservoirs. It offers laboratory-based analytical and field services to characterize properties of crude oil and oil delivered products; and proprietary and joint industry studies, as well as services that support carbon capture, utilization and storage, geothermal projects, and the evaluation and appraisal of mining activities. The Production Enhancement segment provides services and products relating to reservoir well completions, perforations, stimulations, production, and well abandonment. It offers integrated diagnostic ser…
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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.