Powell Industries (POWL) Other Accumulated Expenses (2010 - 2026)
Powell Industries (POWL) posted Other Accumulated Expenses of $29.43 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 46.6% from $20.07 million a year earlier and up 31.0% from the prior quarter.
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Analysis
Powell Industries (POWL) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Powell Industries' Other Accumulated Expenses came in at $23.91 million, up 37.1% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior fiscal years, Powell Industries' Other Accumulated Expenses was $17.44 million in FY2024 (-6.6%), $18.68 million in FY2023 (+49.9%), $12.47 million in FY2022 (+62.8%) and $7.66 million in FY2021 (-18.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 20.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2023, with growth of 65.3%; the weakest was fiscal Q4 2021, with a decline of 18.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $22.48 million (Q2 2026), $24.95 million (Q1 2026) and $23.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Powell Industries | 7.14 Bn | 4.99 Bn | 95.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.43 Mn |
| Mar 31, 2026 | 22.48 Mn |
| Dec 31, 2025 | 24.95 Mn |
| Sep 30, 2025 | 23.91 Mn |
| Jun 30, 2025 | 20.07 Mn |
| Mar 31, 2025 | 17.73 Mn |
| Dec 31, 2024 | 17.33 Mn |
| Sep 30, 2024 | 17.44 Mn |
| Jun 30, 2024 | 15.96 Mn |
| Mar 31, 2024 | 16.64 Mn |
| Dec 31, 2023 | 20.84 Mn |
| Sep 30, 2023 | 18.68 Mn |
| Jun 30, 2023 | 16.34 Mn |
| Mar 31, 2023 | 16.19 Mn |
| Dec 31, 2022 | 14.33 Mn |
| Sep 30, 2022 | 12.47 Mn |
| Jun 30, 2022 | 12.51 Mn |
| Mar 31, 2022 | 9.79 Mn |
| Dec 31, 2021 | 8.81 Mn |
| Sep 30, 2021 | 7.66 Mn |
API Access
Powell Industries Other 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=other-accumulated-expenses&ticker=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();