Flotek Industries, Inc (FTK) Fair Value & Analysis
Energy · US · Market cap $820M
Analysis
Flotek Industries, Inc (FTK) currently trades at $23.47, while our model-based Fair Value estimate is $9.66 — implying the stock looks roughly 58.8% 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
Flotek Industries, Inc. operates as a chemical and data analytics company in the United States, the United Arab Emirates, and internationally. It operates in two segments, Chemistry Technologies (CT) and Data Analytics (DA). The CT segment offers chemistry solutions, such as proprietary chemistries, specialty chemistries, logistics, and technology services for desired chemical applications program to integrated oil and gas companies, oilfield services companies, independent oil and gas companies, national and state-owned oil companies, geothermal energy companies, solar energy companies, and advanced alternative energy companies. This segment also designs, develops, manufactures, packages, distributes, and markets chemistry solutions designed for existing sustainability practices to reduce the environmental impact of energy on the air, water, land, and people. The DA segment is also involved in the provision of analytical measurement and digital solutions, including measure-and-cont…
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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.