BWX Technologies Q3 revenue rises 29%, beats estimates

Reuters
2025/11/04
BWX Technologies Q3 revenue rises 29%, beats estimates

Overview

  • BWX Technologies Q3 revenue of $866.3 mln beats analyst expectations

  • Adjusted EBITDA for Q3 beats analyst estimates, driven by large multi-year contracts

Outlook

  • BWX Technologies raises 2025 non-GAAP EPS guidance to $3.75-$3.80

  • Company expects 2026 adjusted EBITDA growth in low-double-digits to low-teens

  • BWX Technologies anticipates high-single-digit to low-double-digit non-GAAP EPS growth in 2026

Result Drivers

  • RECORD BACKLOG - Driven by large, multi-year special materials projects, backlog increased 119% year-over-year

  • COMMERCIAL OPERATIONS GROWTH - Revenue increased due to higher sales in commercial nuclear components, field services, and medical sales, along with contributions from Kinectrics acquisition

  • GOVERNMENT OPERATIONS - Growth driven by higher naval nuclear component production and special materials processing, partially offset by lower microreactor volumes

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$866.30 mln

$790.90 mln (11 Analysts)

Q3 EPS

$0.89

Q3 Net Income

$82.20 mln

Q3 Adjusted EBITDA

Beat

$151.10 mln

$142 mln (11 Analysts)

Q3 Free Cash Flow

$94.90 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the aerospace & defense peer group is "buy"

  • Wall Street's median 12-month price target for BWX Technologies Inc is $200.00, about 6.8% below its October 31 closing price of $213.61

  • The stock recently traded at 54 times the next 12-month earnings vs. a P/E of 41 three months ago

Press Release: ID:nBw86qp52a

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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