Babcock & Wilcox Enterprises (BW) Accounts Payables (2014 - 2026)
Babcock & Wilcox Enterprises' Accounts Payables was $169.61 million in Q2 2026, up 75.1% from $96.89 million a year earlier and up 56.0% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Accounts Payables (2014 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at Babcock & Wilcox Enterprises came in at $69.19 million, down 21.6% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $88.29 million in FY2024 (+6.2%), $83.15 million in FY2023 (-36.6%), $131.22 million in FY2022 (+52.7%) and $85.93 million in FY2021 (+16.9%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables since Q2 2023.
- Compared with a year earlier, Accounts Payables was higher in two of the last eight quarters, with an average decline of 5.6%.
- The best year-over-year quarter for Accounts Payables over five years was Q2 2026 (growth of 75.1%); the worst was Q3 2025 (a decline of 38.2%).
- Per Business Quant data, BW's Accounts Payables in the three quarters before Q2 2026 was $108.75 million (Q1 2026), $69.19 million (Q4 2025) and $75.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 266.37 Bn | 226.28 Bn | 2.36 Bn | 10.10 Bn |
| 2 | Bloom Energy | 73.98 Bn | 65.77 Bn | 355.57 Mn | 309.93 Mn |
| 3 | First Solar | 19.68 Bn | 10.64 Bn | 605.00 Mn | 346.33 Mn |
| 4 | Nextpower | 13.09 Bn | 8.98 Bn | 335.85 Mn | 535.97 Mn |
| 5 | BWX Technologies | 12.56 Bn | 10.86 Bn | 202.31 Mn | 212.88 Mn |
| 6 | Generac Holdings | 12.50 Bn | 11.33 Bn | 521.81 Mn | 556.09 Mn |
| 7 | EnerSys | 6.41 Bn | 4.60 Bn | 313.36 Mn | 335.16 Mn |
| 8 | Enphase Energy | 4.08 Bn | -777.50 Mn | 175.01 Mn | 124.59 Mn |
| 9 | Mirion Technologies | 3.96 Bn | 1.79 Bn | 133.10 Mn | 60.20 Mn |
| 10 | Babcock & Wilcox Enterprises | 698.13 Mn | 169.11 Mn | 46.64 Mn | 169.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.61 Mn |
| Mar 31, 2026 | 108.75 Mn |
| Dec 31, 2025 | 69.19 Mn |
| Sep 30, 2025 | 75.64 Mn |
| Jun 30, 2025 | 96.89 Mn |
| Mar 31, 2025 | 119.10 Mn |
| Dec 31, 2024 | 88.29 Mn |
| Sep 30, 2024 | 122.36 Mn |
| Jun 30, 2024 | 147.35 Mn |
| Mar 31, 2024 | 129.54 Mn |
| Dec 31, 2023 | 83.15 Mn |
| Sep 30, 2023 | 144.34 Mn |
| Jun 30, 2023 | 180.38 Mn |
| Mar 31, 2023 | 169.15 Mn |
| Dec 31, 2022 | 131.22 Mn |
| Sep 30, 2022 | 122.08 Mn |
| Jun 30, 2022 | 109.53 Mn |
| Mar 31, 2022 | 97.84 Mn |
| Dec 31, 2021 | 85.93 Mn |
| Sep 30, 2021 | 85.95 Mn |
Babcock & Wilcox Enterprises Accounts Payables 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=accounts-payables&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();