Powell Industries (POWL) Inventory (2010 - 2026)
Powell Industries (POWL) reported Inventory of $95.37 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.7% from $88.53 million a year earlier and up 10.5% from the prior quarter.
Powell Industries (POWL) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Powell Industries posted Inventory of $84.72 million, down 1.3% from FY2024.
- Inventory has a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $85.87 million in FY2024 (+34.5%), $63.87 million in FY2023 (+26.7%), $50.42 million in FY2022 (+69.0%) and $29.84 million in FY2021 (+3.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2010.
- Year over year, Inventory gained in five of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Inventory in five years was fiscal Q3 2022 (growth of 71.6%); the low point was fiscal Q1 2026 (a decline of 3.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $86.3 million (Q2 2026), $84.96 million (Q1 2026) and $84.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Powell Industries | 6.82 Bn | 4.67 Bn | 95.30 Mn | 95.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.37 Mn |
| Mar 31, 2026 | 86.30 Mn |
| Dec 31, 2025 | 84.96 Mn |
| Sep 30, 2025 | 84.72 Mn |
| Jun 30, 2025 | 88.53 Mn |
| Mar 31, 2025 | 89.02 Mn |
| Dec 31, 2024 | 88.11 Mn |
| Sep 30, 2024 | 85.87 Mn |
| Jun 30, 2024 | 85.14 Mn |
| Mar 31, 2024 | 82.08 Mn |
| Dec 31, 2023 | 69.68 Mn |
| Sep 30, 2023 | 63.87 Mn |
| Jun 30, 2023 | 66.11 Mn |
| Mar 31, 2023 | 58.69 Mn |
| Dec 31, 2022 | 55.00 Mn |
| Sep 30, 2022 | 50.42 Mn |
| Jun 30, 2022 | 48.74 Mn |
| Mar 31, 2022 | 43.69 Mn |
| Dec 31, 2021 | 36.16 Mn |
| Sep 30, 2021 | 29.84 Mn |
Powell Industries Inventory 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=inventory&ticker=POWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();