RPC, Inc (RES) Fair Value & Analysis
Energy · US · Market cap $1.4B
Fair value as of: Jun 24, 2026
Analysis
RPC, Inc (RES) currently trades at $6.46, while our model-based Fair Value estimate is $3.08 — implying the stock looks roughly 52.3% 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
RPC, Inc., together with its subsidiaries, engages provision of a range of oilfield services and equipment for the oil and gas companies involved in the exploration, production, and development of oil and gas properties. The company operates through Technical Services and Support Services segments. The Technical Services segment offers pressure pumping, cementing, downhole tools, coiled tubing, snubbing, nitrogen, well control, wireline, and fishing services that are used in the completion, production, and maintenance of wells, as well as well control training. The Support Services segment provides a range of rental tools drill pipe and related tools, as well as pipe handling, pipe inspection and storage services. It rents its tools for use with onshore and offshore oil and gas well drilling, completion, and workover activities. It operates in Africa, Canada, Argentina, Mexico, Latin America, and the Middle East. The company was incorporated in 1984 and is headquartered in Atlanta, …
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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.