Babcock & Wilcox Q1 revenue beats on large project volume

Babcock & Wilcox Enterprises

11/05/2026 11:40

Overview

US energy technology firm's Q1 revenue rose 44%, beating analyst expectations

Adjusted EBITDA for Q1 up 296% yr/yr

Company posted adjusted net income of $2.2 mln, reversing loss last year

Outlook

Company reiterates full-year 2026 adjusted EBITDA target of $80 mln to $100 mln

Company expects to fully pay off remaining December 2026 bonds in 2026

Company says macroeconomic conditions, including inflation and supply chain disruptions, could continue to impact results

Result Drivers

LARGE PROJECT VOLUME - Q1 revenue growth was primarily driven by an increase in large project volume, including the ongoing Base Electron project

AI DATA CENTER DEMAND - Company cited strong interest from AI data center and hyperscaler customers for power generation solutions, fueling bookings and pipeline growth

CORE PARTS AND SERVICES DEMAND - Higher demand from consumers, industrials, and AI data centers drove increased coal baseload generation and supported revenue growth

Company press release: ID:nBw7wVQsda

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Beat
$214.4 mln
$149.7 mln (3 Analysts)
Q1 EPS
-$0.60
Q1 Net Income Attributable To Stockholders
-$76.9 mln
Q1 Operating Income
-$1.7 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

The average consensus recommendation for the heavy electrical equipment peer group is "buy"

Wall Street's median 12-month price target for Babcock & Wilcox Enterprises Inc is $19.00, about 30.7% above its May 8 closing price of $14.54

The stock recently traded at 52 times the next 12-month earnings vs. a P/E of 501 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.)