Excelerate Energy beats Q1 revenue estimates

Excelerate Energy

06/05/2026 21:38

Overview

US LNG and power infrastructure firm's Q1 revenue beat analyst expectations

Adjusted net income and adjusted EBITDA for Q1 both beat analyst expectations

Company lowered 2026 adjusted EBITDA outlook due to delayed Iraq terminal startup

Outlook

Company lowers 2026 Adjusted EBITDA outlook to $480 mln-$510 mln due to Iraq project delay

Startup of Iraq LNG terminal now expected in 2027, delayed from Q3 2026

Committed growth capital for 2026 now expected at $270 mln-$300 mln

Result Drivers

LNG, GAS AND POWER SALES - Co said increased LNG, gas and power sales, mostly related to the Jamaica acquisition, drove higher adjusted EBITDA and net income versus prior quarter and year

VESSEL OPTIMIZATION - Co attributed sequential earnings improvement to vessel optimization

HIGHER COSTS - Net income declined versus prior year due to higher interest expense, seasonal maintenance, and increased tax provision

Company press release: ID:nBw1TGrGna

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Beat
$433.40 mln
$351.67 mln (6 Analysts)
Q1 Adjusted Net Income
Beat
$50 mln
$13.46 mln (5 Analysts)
Q1 Net Income
$50 mln
Q1 Adjusted EBITDA
Beat
$122.20 mln
$119.43 mln (9 Analysts)
Q1 Operating Income
$82 mln
Q1 Pretax Profit
$59.44 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "strong buy" or "buy", 4 "hold" and no "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 $44.00, about 23.8% above its May 5 closing price of $35.55

The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 22 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.)