BWX Technologies Q4 revenue beats expectations

Reuters
6 hours ago
BWX Technologies Q4 revenue beats expectations

Overview

  • Nuclear solutions provider's Q4 revenue beat analyst expectations

  • Adjusted EPS for Q4 beat analyst expectations

  • Company's backlog grew 50% yr/yr, driven by naval propulsion and nuclear power awards

Outlook

  • BWX Technologies expects 2026 non-GAAP EPS of $4.55-$4.70

  • Company forecasts 2026 adjusted EBITDA of $645 mln-$660 mln

  • BWX Technologies projects 2026 free cash flow of $305 mln-$320 mln

Result Drivers

  • COMMERCIAL OPERATIONS - Revenue growth in Q4 driven by higher field services, fuel, components, and medical sales, as well as contribution from Kinectrics

  • GOVERNMENT OPERATIONS - Slight decline in Q4 revenue due to lower naval nuclear component material procurement and microreactor revenue, partially offset by higher special materials processing

Company press release: ID:nBw46fjx4a

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$885.80 mln

$847.47 mln (10 Analysts)

Q4 Adjusted EPS

Beat

$1.08

$0.88 (8 Analysts)

Q4 EPS

$1.01

Q4 Net Income

$93.70 mln

Q4 Adjusted EBITDA

Slight Beat*

$147.50 mln

$146.36 mln (10 Analysts)

Q4 Free Cash Flow

$56.80 mln

*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 5 "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 $225.00, about 9% above its February 20 closing price of $206.44

  • The stock recently traded at 48 times the next 12-month earnings vs. a P/E of 54 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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