Powell Industries (POWL) Total Liabilities (2010 - 2026)
Powell Industries' Total Liabilities came in at $650.51 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 45.4% from $447.31 million a year earlier and up 38.1% from the prior quarter.
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Analysis
Powell Industries (POWL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Powell Industries' Total Liabilities was $468.21 million, up 5.2% from FY2024.
- Total Liabilities has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $445.11 million in FY2024 (+9.3%), $407.22 million in FY2023 (+107.6%), $196.17 million in FY2022 (+45.3%) and $134.97 million in FY2021 (-18.5%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2023 (growth of 122.7%), and the weakest in fiscal Q4 2021 (a decline of 18.5%).
- Business Quant data shows POWL's Total Liabilities at $470.97 million (Q2 2026), $425.48 million (Q1 2026) and $468.21 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Powell Industries | 6.82 Bn | 4.67 Bn | 95.30 Mn | 650.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 650.51 Mn |
| Mar 31, 2026 | 470.97 Mn |
| Dec 31, 2025 | 425.48 Mn |
| Sep 30, 2025 | 468.21 Mn |
| Jun 30, 2025 | 447.31 Mn |
| Mar 31, 2025 | 424.01 Mn |
| Dec 31, 2024 | 416.34 Mn |
| Sep 30, 2024 | 445.11 Mn |
| Jun 30, 2024 | 432.24 Mn |
| Mar 31, 2024 | 455.83 Mn |
| Dec 31, 2023 | 441.63 Mn |
| Sep 30, 2023 | 407.22 Mn |
| Jun 30, 2023 | 347.03 Mn |
| Mar 31, 2023 | 281.30 Mn |
| Dec 31, 2022 | 215.20 Mn |
| Sep 30, 2022 | 196.17 Mn |
| Jun 30, 2022 | 155.86 Mn |
| Mar 31, 2022 | 146.84 Mn |
| Dec 31, 2021 | 128.22 Mn |
| Sep 30, 2021 | 134.97 Mn |
API Access
Powell Industries 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=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "POWL", "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=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();