Babcock & Wilcox Enterprises (BW) Operating Expenses (2014 - 2026)
Babcock & Wilcox Enterprises (BW) recorded Operating Expenses of $307.95 million in Q2 2026, up 133.6% from $131.84 million a year earlier and up 42.5% from the prior quarter.
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Analysis
Babcock & Wilcox Enterprises (BW) Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Babcock & Wilcox Enterprises' Operating Expenses came in at $799.46 million as of Jun 30, 2026, up 39.3% year-over-year; for FY2025, it was $566.94 million, down 3.5% from FY2024.
- Annual Operating Expenses has declined for four straight years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $587.38 million in FY2024 (-3.3%), $607.51 million in FY2023 (-0.5%), $610.59 million in FY2022 (-11.7%) and $691.45 million in FY2021 (+21.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2018.
- On a year-over-year basis, Operating Expenses rose in two of the last seven quarters, with growth averaging 15.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 133.6% in Q2 2026, against a decline of 44.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $216.07 million (Q1 2026), $132.93 million (Q4 2025) and $142.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 267.76 Bn | 227.68 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 73.27 Bn | 65.06 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 19.83 Bn | 10.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | Nextpower | 13.21 Bn | 9.10 Bn | 335.85 Mn | 144.95 Mn |
| 5 | BWX Technologies | 12.82 Bn | 11.12 Bn | 202.31 Mn | 811.92 Mn |
| 6 | Generac Holdings | 12.76 Bn | 11.59 Bn | 521.81 Mn | 311.38 Mn |
| 7 | EnerSys | 6.43 Bn | 4.62 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.11 Bn | -749.80 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.99 Bn | 1.83 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Babcock & Wilcox Enterprises | 703.12 Mn | 174.09 Mn | 46.64 Mn | 307.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.95 Mn |
| Mar 31, 2026 | 216.07 Mn |
| Dec 31, 2025 | 132.93 Mn |
| Sep 30, 2025 | 142.51 Mn |
| Jun 30, 2025 | 131.84 Mn |
| Mar 31, 2025 | 150.44 Mn |
| Dec 31, 2024 | 140.56 Mn |
| Sep 30, 2024 | 151.06 Mn |
| Jun 30, 2024 | 155.86 Mn |
| Mar 31, 2024 | 158.57 Mn |
| Dec 31, 2023 | -145.44 Mn |
| Sep 30, 2023 | 233.87 Mn |
| Jun 30, 2023 | 279.11 Mn |
| Mar 31, 2023 | 239.97 Mn |
| Dec 31, 2022 | -4.97 Mn |
| Sep 30, 2022 | 214.39 Mn |
| Jun 30, 2022 | 217.35 Mn |
| Mar 31, 2022 | 210.83 Mn |
| Dec 31, 2021 | 171.47 Mn |
| Sep 30, 2021 | 145.20 Mn |
API Access
Babcock & Wilcox Enterprises 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=BW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BW", "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=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();