Broadwind (BWEN) Total Liabilities (2010 - 2026)
Broadwind's Total Liabilities was $46.37 million in Q2 2026, down 35.2% from $71.56 million a year earlier and down 10.5% from the prior quarter.
Broadwind (BWEN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Broadwind came in at $50.52 million, down 26.7% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $68.89 million in FY2024 (-12.9%), $79.14 million in FY2023 (-19.5%), $98.27 million in FY2022 (+53.8%) and $63.91 million in FY2021 (-19.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q4 2017.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 17.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 53.8%); the worst was Q2 2024 (a decline of 41.0%).
- Per Business Quant data, BWEN's Total Liabilities in the three quarters before Q2 2026 was $51.79 million (Q1 2026), $50.52 million (Q4 2025) and $52.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 67.69 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 3.99 Bn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 3.07 Bn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 3.09 Bn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 2.89 Bn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 1.71 Bn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 1.98 Bn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 1.74 Bn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 1.65 Bn |
| 10 | Broadwind | 98.89 Mn | 79.25 Mn | 3.80 Mn | 46.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.37 Mn |
| Mar 31, 2026 | 51.79 Mn |
| Dec 31, 2025 | 50.52 Mn |
| Sep 30, 2025 | 52.76 Mn |
| Jun 30, 2025 | 71.56 Mn |
| Mar 31, 2025 | 70.01 Mn |
| Dec 31, 2024 | 68.89 Mn |
| Sep 30, 2024 | 65.48 Mn |
| Jun 30, 2024 | 63.48 Mn |
| Mar 31, 2024 | 65.03 Mn |
| Dec 31, 2023 | 79.14 Mn |
| Sep 30, 2023 | 110.24 Mn |
| Jun 30, 2023 | 107.57 Mn |
| Mar 31, 2023 | 101.44 Mn |
| Dec 31, 2022 | 98.27 Mn |
| Sep 30, 2022 | 77.45 Mn |
| Jun 30, 2022 | 77.19 Mn |
| Mar 31, 2022 | 78.66 Mn |
| Dec 31, 2021 | 63.91 Mn |
| Sep 30, 2021 | 57.33 Mn |
Broadwind 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=BWEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BWEN", "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=BWEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();