Babcock & Wilcox Enterprises (BW) Cost of Revenue (2014 - 2026)
Babcock & Wilcox Enterprises (BW) recorded Cost of Revenue of $273.08 million in Q2 2026, up 180.4% from $97.4 million a year earlier and up 59.7% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Cost of Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, Babcock & Wilcox Enterprises' Cost of Revenue came in at $661.81 million as of Jun 30, 2026, up 49.2% year-over-year; for FY2025, it came in at $443.83 million, down 2.3% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $454.33 million in FY2024 (-2.5%), $465.98 million in FY2023 (+0.4%), $464.3 million in FY2022 (-13.3%) and $535.83 million in FY2021 (+33.8%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q4 2018.
- On a year-over-year basis, Cost of Revenue rose in two of the last seven quarters, with growth averaging 22.3%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 180.4% in Q2 2026, against a decline of 48.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $170.96 million (Q1 2026), $105.9 million (Q4 2025) and $111.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 266.85 Bn | 226.76 Bn | 2.36 Bn | 8.74 Bn |
| 2 | Bloom Energy | 73.57 Bn | 65.36 Bn | 355.57 Mn | 709.79 Mn |
| 3 | First Solar | 19.76 Bn | 10.71 Bn | 605.00 Mn | 451.19 Mn |
| 4 | Nextpower | 13.16 Bn | 9.06 Bn | 335.85 Mn | 599.32 Mn |
| 5 | BWX Technologies | 12.78 Bn | 11.08 Bn | 202.31 Mn | 699.32 Mn |
| 6 | Generac Holdings | 12.70 Bn | 11.53 Bn | 521.81 Mn | 651.70 Mn |
| 7 | EnerSys | 6.43 Bn | 4.62 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Enphase Energy | 4.10 Bn | -757.72 Mn | 175.01 Mn | 116.84 Mn |
| 9 | Mirion Technologies | 3.97 Bn | 1.80 Bn | 133.10 Mn | 133.70 Mn |
| 10 | Babcock & Wilcox Enterprises | 700.27 Mn | 171.24 Mn | 46.64 Mn | 273.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.08 Mn |
| Mar 31, 2026 | 170.96 Mn |
| Dec 31, 2025 | 105.90 Mn |
| Sep 30, 2025 | 111.87 Mn |
| Jun 30, 2025 | 97.40 Mn |
| Mar 31, 2025 | 120.83 Mn |
| Dec 31, 2024 | 108.75 Mn |
| Sep 30, 2024 | 116.52 Mn |
| Jun 30, 2024 | 118.34 Mn |
| Mar 31, 2024 | 125.53 Mn |
| Dec 31, 2023 | -137.74 Mn |
| Sep 30, 2023 | 186.03 Mn |
| Jun 30, 2023 | 228.35 Mn |
| Mar 31, 2023 | 189.33 Mn |
| Dec 31, 2022 | -13.92 Mn |
| Sep 30, 2022 | 164.27 Mn |
| Jun 30, 2022 | 173.34 Mn |
| Mar 31, 2022 | 163.06 Mn |
| Dec 31, 2021 | 131.00 Mn |
| Sep 30, 2021 | 114.64 Mn |
Babcock & Wilcox Enterprises Cost of Revenue 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=cost-of-revenue&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();