Babcock & Wilcox Enterprises (BW) Accumulated Expenses (2014 - 2026)
Babcock & Wilcox Enterprises' Accumulated Expenses was $30.92 million in Q2 2026, down 10.5% from $34.57 million a year earlier and down 34.2% from the prior quarter.
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Analysis
Babcock & Wilcox Enterprises (BW) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Babcock & Wilcox Enterprises came in at $32.13 million, up 14.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -16.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $28.01 million in FY2024 (-45.1%), $51.06 million in FY2023 (-5.5%), $54.04 million in FY2022 (-0.6%) and $54.39 million in FY2021 (-32.7%).
- Quarterly Accumulated Expenses has moved between $28.01 million (Q4 2024) and $75.95 million (Q1 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 21.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2022 (growth of 33.7%); the worst was Q4 2024 (a decline of 45.1%).
- Per Business Quant data, BW's Accumulated Expenses in the three quarters before Q2 2026 was $47 million (Q1 2026), $32.13 million (Q4 2025) and $29.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 266.37 Bn | 226.28 Bn | 2.36 Bn |
| 2 | Bloom Energy | 73.98 Bn | 65.77 Bn | 355.57 Mn |
| 3 | First Solar | 19.68 Bn | 10.64 Bn | 605.00 Mn |
| 4 | Nextpower | 13.09 Bn | 8.98 Bn | 335.85 Mn |
| 5 | BWX Technologies | 12.56 Bn | 10.86 Bn | 202.31 Mn |
| 6 | Generac Holdings | 12.50 Bn | 11.33 Bn | 521.81 Mn |
| 7 | EnerSys | 6.41 Bn | 4.60 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.08 Bn | -777.50 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.96 Bn | 1.79 Bn | 133.10 Mn |
| 10 | Babcock & Wilcox Enterprises | 698.13 Mn | 169.11 Mn | 46.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.92 Mn |
| Mar 31, 2026 | 47.00 Mn |
| Dec 31, 2025 | 32.13 Mn |
| Sep 30, 2025 | 29.33 Mn |
| Jun 30, 2025 | 34.57 Mn |
| Mar 31, 2025 | 40.62 Mn |
| Dec 31, 2024 | 28.01 Mn |
| Sep 30, 2024 | 53.14 Mn |
| Jun 30, 2024 | 53.69 Mn |
| Mar 31, 2024 | 65.27 Mn |
| Dec 31, 2023 | 51.06 Mn |
| Sep 30, 2023 | 72.29 Mn |
| Jun 30, 2023 | 72.25 Mn |
| Mar 31, 2023 | 72.51 Mn |
| Dec 31, 2022 | 54.04 Mn |
| Sep 30, 2022 | 69.53 Mn |
| Jun 30, 2022 | 63.87 Mn |
| Mar 31, 2022 | 75.95 Mn |
| Dec 31, 2021 | 54.39 Mn |
| Sep 30, 2021 | 52.00 Mn |
API Access
Babcock & Wilcox Enterprises Accumulated 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=accumulated-expenses&ticker=BW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();