Oilfield services provider Liberty Energy Q3 revenue misses estimates amid market pricing pressure

Overview * Liberty Energy Q3 revenue falls 9% sequentially, missing analyst expectations * Adjusted EPS for Q3 was -$0.06, missing consensus estimates * Adjusted EBITDA for Q3 was $128 mln, below analyst expectations Outlook * Liberty anticipates improved frac fundamentals later in 2026, assuming supportive commodity prices * Company plans to increase power generation capacity to over one gigawatt by 2027 * Liberty sees strong demand for next-generation fleets offering fuel savings and efficiencies Result Drivers * RECORD PUMPING EFFICIENCY – Liberty achieved highest combined average daily pumping efficiency and safety performance in its history, per CEO Ron Gusek * TECHNOLOGY INNOVATION – Liberty launched Forge, a large language model for intelligent asset orchestration, enhancing operational efficiencies * SLOWDOWN – Company achieved revenue of $947 million in the third quarter, despite a slowdown in industry completions activity and market pricing pressure Key Details Metric Beat/Mis Actual Consensu s s Estimate Q3 Miss $947.39 $975.20 Revenue mln mln (9 Analysts ) Q3 Miss -$0.06 $0.01 (7 Adjusted Analysts EPS ) Q3 Net $43.05 Income mln Q3 Miss $127.67 $145.50 Adjusted mln mln (9 EBITDA Analysts ) Q3 Capex $113.03 mln Q3 -$2.41 Operatin mln g Income Analyst Coverage * The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", 7 "hold" and no "sell" or "strong sell" * The average consensus recommendation for the oil related services and equipment peer group is "buy" * Wall Street's median 12-month price target for Liberty Energy Inc is $13.00, about 8.2% above its October 16 closing price of $11.94 * The stock recently traded at 358 times the next 12-month earnings vs. a P/E of 31 three months ago Press Release: For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact . (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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