Babcock & Wilcox Enterprises (BW) Total Liabilities (2014 - 2026)
Babcock & Wilcox Enterprises (BW) reported Total Liabilities of $942.23 million for Q2 2026, down 6.9% from $1.01 billion a year earlier but up 1.3% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Babcock & Wilcox Enterprises posted Total Liabilities of $794.48 million, down 21.4% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.01 billion in FY2024 (+3.5%), $976.05 million in FY2023 (+3.4%), $943.78 million in FY2022 (+10.4%) and $854.64 million in FY2021 (-8.1%).
- Five-year quarterly Total Liabilities spans a low of $708.96 million in Q3 2021 and a high of $1.05 billion in Q2 2024.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 5.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 29.6%); the low point was Q3 2021 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $929.94 million (Q1 2026), $794.48 million (Q4 2025) and $890.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.67 Bn | 157.77 Bn | 3.11 Bn | 73.68 Bn |
| 2 | Bloom Energy | 50.26 Bn | 40.16 Bn | 417.10 Mn | 4.61 Bn |
| 3 | First Solar | 21.21 Bn | 12.58 Bn | 713.06 Mn | 3.14 Bn |
| 4 | Nextpower | 15.07 Bn | 10.78 Bn | 345.32 Mn | 1.99 Bn |
| 5 | BWX Technologies | 10.62 Bn | 8.43 Bn | 227.14 Mn | 3.34 Bn |
| 6 | Generac Holdings | 10.16 Bn | 8.89 Bn | 516.04 Mn | 3.13 Bn |
| 7 | EnerSys | 5.21 Bn | 3.40 Bn | 313.36 Mn | 1.98 Bn |
| 8 | Mirion Technologies | 4.17 Bn | 2.53 Bn | 131.50 Mn | 1.67 Bn |
| 9 | Enphase Energy | 3.86 Bn | -452.17 Mn | 127.12 Mn | 1.64 Bn |
| 10 | Babcock & Wilcox Enterprises | 441.94 Mn | -87.09 Mn | 46.64 Mn | 942.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 942.23 Mn |
| Mar 31, 2026 | 929.94 Mn |
| Dec 31, 2025 | 794.48 Mn |
| Sep 30, 2025 | 890.09 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 976.05 Mn |
| Sep 30, 2023 | 978.97 Mn |
| Jun 30, 2023 | 999.90 Mn |
| Mar 31, 2023 | 978.63 Mn |
| Dec 31, 2022 | 943.78 Mn |
| Sep 30, 2022 | 898.70 Mn |
| Jun 30, 2022 | 882.22 Mn |
| Mar 31, 2022 | 910.76 Mn |
| Dec 31, 2021 | 854.64 Mn |
| Sep 30, 2021 | 708.96 Mn |
Babcock & Wilcox Enterprises Total Liabilities 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=total-liabilities&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();