Powell Industries (POWL) Depreciation and Depletion (2010 - 2025)
Powell Industries' Depreciation and Depletion was $1.99 million in fiscal Q4 2025 (quarter ended Sep 30, 2025), up 8.7% from $1.83 million a year earlier and up 13.9% from the prior quarter.
Powell Industries (POWL) Depreciation and Depletion (2010 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Depreciation and Depletion at Powell Industries came in at $7.2 million, up 4.3% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation and Depletion was $6.9 million in FY2024 (-19.8%), $8.6 million in FY2023 (-8.5%), $9.4 million in FY2022 (-7.8%) and $10.2 million in FY2021 (-1.9%).
- The fiscal Q4 2025 figure marks the highest quarterly Depreciation and Depletion since fiscal Q4 2023.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last eight quarters, with an average decline of 7.7%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2025 (growth of 8.7%); the worst was fiscal Q1 2024 (a decline of 23.2%).
- Per Business Quant data, POWL's Depreciation and Depletion in the three fiscal quarters before Q4 2025 was $1.74 million (Q3 2025), $1.72 million (Q2 2025) and $1.76 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Powell Industries | 7.14 Bn | 4.99 Bn | 95.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.99 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 1.83 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.19 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 2.38 Mn |
| Mar 31, 2022 | 2.42 Mn |
| Dec 31, 2021 | 2.41 Mn |
| Sep 30, 2018 | 3.21 Mn |
| Jun 30, 2018 | 3.19 Mn |
| Mar 31, 2018 | 3.15 Mn |
| Dec 31, 2017 | 3.16 Mn |
Powell Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=POWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();