Patterson-UTI Energy, Inc (PTEN) Fair Value & Analysis
Energy · US · Market cap $4.7B
Analysis
Patterson-UTI Energy, Inc (PTEN) currently trades at $10.07, while our model-based Fair Value estimate is $12.20 — implying the stock looks roughly 21.2% undervalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Patterson-UTI Energy, Inc., through its subsidiaries, provides drilling and completion services to oil and natural gas exploration and production companies in the United States, Canada, Colombia, and internationally. It operates through three segments: Drilling Services, Completion Services, and Drilling Products. The Contract Drilling Services segment engages in the provision of contract and directional drilling, and measurement-while-drilling (MWD) services in onshore oil and natural gas basins; supply and rental of downhole performance motors, such as Mpact drilling motors, and Mpower MWD systems; electrical controls and automation to the energy, marine, and mining industries; rig fleet evaluation; and drilling technology service. This segment also provides software and services, such as MWD Survey Fault Detection, Isolation and Recovery (FDIR) services, a data analytics technology to analyze MWD survey data in real-time and identify the position of a well; HiFi Nav, which enhanc…
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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.