Babcock & Wilcox Enterprises, Inc. (BW-PA) Accumulated Expenses (2014 - 2026)
Babcock & Wilcox Enterprises (BW-PA) reported Accumulated Expenses of $30.92 million for Q2 2026, down 10.5% from $34.57 million a year earlier and down 34.2% from the prior quarter.
Powered by 
Analysis
Babcock & Wilcox Enterprises, Inc. (BW-PA) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Babcock & Wilcox Enterprises posted Accumulated Expenses of $32.13 million, up 14.7% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -16.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $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%).
- Five-year quarterly Accumulated Expenses spans a low of $28.01 million in Q4 2024 and a high of $75.95 million in Q1 2022.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 21.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 33.7%); the low point was Q4 2024 (a decline of 45.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47 million (Q1 2026), $32.13 million (Q4 2025) and $29.33 million (Q3 2025).
Peer Set
Peer Comparison
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, Inc. 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-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BW-PA", "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-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();