BWX Technologies (BWXT) Operating Expenses (2010 - 2026)
BWX Technologies (BWXT) reported Operating Expenses of $811.92 million for Q2 2026, up 19.4% from $680.16 million a year earlier and up 4.8% from the prior quarter.
BWX Technologies (BWXT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, BWX Technologies' Operating Expenses came in at $3.17 billion, up 24.8% year-over-year; for FY2025, it was $2.87 billion, up 20.6% from FY2024.
- Operating Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $2.38 billion in FY2024 (+9.9%), $2.16 billion in FY2023 (+12.1%), $1.93 billion in FY2022 (+6.5%) and $1.81 billion in FY2021 (+1.1%).
- Five-year quarterly Operating Expenses spans a low of $421.88 million in Q3 2021 and a high of $812.35 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 19 quarters, with growth averaging 19.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 31.0%); the low point was Q3 2021 (a decline of 4.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $775.09 million (Q1 2026), $812.35 million (Q4 2025) and $774.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 811.92 Mn |
| Mar 31, 2026 | 775.09 Mn |
| Dec 31, 2025 | 812.35 Mn |
| Sep 30, 2025 | 774.15 Mn |
| Jun 30, 2025 | 680.16 Mn |
| Mar 31, 2025 | 602.22 Mn |
| Dec 31, 2024 | 669.62 Mn |
| Sep 30, 2024 | 590.91 Mn |
| Jun 30, 2024 | 594.24 Mn |
| Mar 31, 2024 | 524.21 Mn |
| Dec 31, 2023 | 614.27 Mn |
| Sep 30, 2023 | 517.28 Mn |
| Jun 30, 2023 | 538.35 Mn |
| Mar 31, 2023 | 494.16 Mn |
| Dec 31, 2022 | 533.39 Mn |
| Sep 30, 2022 | 458.62 Mn |
| Jun 30, 2022 | 470.29 Mn |
| Mar 31, 2022 | 467.94 Mn |
| Dec 31, 2021 | 497.06 Mn |
| Sep 30, 2021 | 421.88 Mn |
BWX Technologies Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=BWXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BWXT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BWXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();