tradingkey.logo

BWX Technologies Inc reports results for the quarter ended December 31 - Earnings Summary

ReutersFeb 24, 2025 10:41 PM
  • BWX Technologies Inc BWXT.N reported quarterly adjusted earnings of 92 cents​​ per share for the quarter ended December 31, lower than the same quarter last year, when the company reported EPS of $1.01. The mean expectation of eight analysts for the quarter was for earnings of 81 cents per share. Wall Street expected results to range from 79 cents to 89 cents per share.

  • Revenue rose 2.9% to $746.27 million from a year ago; analysts expected $719.98 million.

  • BWX Technologies Inc's reported EPS for the quarter was 77 cents​.

  • The company reported quarterly net income of $71 million.

  • BWX Technologies Inc shares had fallen by 9.0% this quarter.

FORECAST CHANGES

  • The mean earnings estimate of analysts had risen by about 0.2% in the last three months.​

  • In the last 30 days, there have been no earnings estimate revisions by analysts covering the company.

RECOMMENDATIONS

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "strong buy" or "buy," 1 "hold" and 1 "sell" or "strong sell."

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

Wall Street's median 12-month price target for BWX Technologies Inc is $140.00

This summary was machine generated from LSEG data February 24 at 10:41 p.m. UTC. ​All figures in US dollars unless otherwise stated. (For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com)

QUARTER ENDING

ESTIMATE

ACTUAL

BEAT, MET, MISSED

Dec. 31 2024

0.81

0.92

Beat

Sep. 30 2024

0.78

0.83

Beat

Jun. 30 2024

0.75

0.82

Beat

Mar. 31 2024

0.69

0.76

Beat

Disclaimer: The information provided on this website is for educational and informational purposes only and should not be considered financial or investment advice.

Related Articles

KeyAI