Excelerate Energy beats Q3 revenue estimates

Reuters
Nov 06, 2025
Excelerate Energy beats Q3 revenue estimates

Overview

  • Excelerate Q3 revenue rises, beating analyst expectations

  • Adjusted net income for Q3 beats estimates, driven by Jamaica operations

  • The LNG infrastructure services provider raises full-year 2025 adjusted EBITDA guidance

Outlook

  • Excelerate raises full-year 2025 Adjusted EBITDA guidance to $435 mln-$450 mln

  • Company expects limited financial impact from Hurricane Melissa in Q4

  • Maintenance capex for 2025 expected to range between $65 mln and $75 mln

Result Drivers

  • JAMAICA OPERATIONS - Full quarter of Jamaica margin and higher LNG, gas, and power sales opportunities boosted Q3 results

  • IRAQ LNG TERMINAL - Executed agreement for Iraq's first LNG import terminal, contributing to strategic growth

  • HURRICANE IMPACT - Limited financial impact from Hurricane Melissa due to comprehensive insurance and timely restoration

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$391 mln

$286.20 mln (4 Analysts)

Q3 Adjusted Net Income

Beat

$57.10 mln

$10.30 mln (3 Analysts)

Q3 Net Income

$55 mln

Q3 Adjusted EBITDA

Beat

$129.30 mln

$112.50 mln (9 Analysts)

Q3 Operating Income

$87.20 mln

Q3 Pretax Profit

$62.98 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 3 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the natural gas utilities peer group is "buy"

  • Wall Street's median 12-month price target for Excelerate Energy Inc is $34.50, about 25.8% above its November 4 closing price of $25.60

  • The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 16 three months ago

Press Release: ID:nBw8GYXvWa

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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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