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TPC Tutor Perini News Story

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Infrastructure contractor Tutor Perini affirms 2026 adjusted EPS outlook

Overview

US construction firm's Q1 revenue rose 11% yr/yr but missed analyst expectations

Adjusted EPS climbed to $1.03 from $0.65, driven by higher-margin projects

Company repurchased $20 mln in shares under its $200 mln buyback program

Outlook

Tutor Perini affirms 2026 adjusted EPS guidance of $4.90 to $5.30

Company expects 2027 adjusted EPS to be significantly higher than 2026 guidance upper end

Company sees strong demand and major bidding opportunities in H2 2026 and 2027

Result Drivers

NEWER, HIGHER-MARGIN PROJECTS - Revenue growth was primarily driven by increased execution on newer, larger, and higher-margin projects, especially in the Civil and Specialty Contractors segments

SHARE-BASED COMPENSATION EXPENSE - Income from construction operations was negatively affected by a $23.5 mln increase in share-based compensation expense due to a higher stock price

RECORD OPERATING CASH FLOW - Record Q1 operating cash flow was largely driven by collections from newer and ongoing projects

Company press release: ID:nBw1BQsKMa

Key Details

MetricBeat/MissActualConsensus Estimate
Q1 RevenueMiss$1.39 bln$1.44 bln (4 Analysts)
Q1 EPS$0.48
Q1 Net Income$39.53 mln
Q1 Gross Profit$154.63 mln
Q1 Pretax Profit$56.51 mln
Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", no "hold" and no "sell" or "strong sell" The average consensus recommendation for the construction & engineering peer group is "buy" Wall Street's median 12-month price target for Tutor Perini Corp is $110.00, about 13% above its May 5 closing price of $97.31 The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 21 three months ago For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com. (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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