Powell Industries (POWL) Receivables - Net (2010 - 2026)
Powell Industries (POWL) posted Receivables - Net of $362.41 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 71.3% from $211.62 million a year earlier and up 52.1% from the prior quarter.
Powell Industries (POWL) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Powell Industries' Receivables - Net came in at $217.07 million, up 1.2% from FY2024.
- Annual Receivables - Net has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- In prior fiscal years, Powell Industries' Receivables - Net was $214.41 million in FY2024 (+3.8%), $206.59 million in FY2023 (+94.7%), $106.11 million in FY2022 (+35.5%) and $78.3 million in FY2021 (+11.9%).
- The fiscal Q3 2026 figure stands as the highest quarterly Receivables - Net in data going back to fiscal Q4 2010.
- On a year-over-year basis, Receivables - Net increased in seven of the last eight quarters, with growth averaging 17.3%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was fiscal Q3 2023, with growth of 98.5%; the weakest was fiscal Q3 2024, with a decline of 15.3%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $238.32 million (Q2 2026), $189.57 million (Q1 2026) and $217.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Powell Industries | 6.82 Bn | 4.67 Bn | 95.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.41 Mn |
| Mar 31, 2026 | 238.32 Mn |
| Dec 31, 2025 | 189.57 Mn |
| Sep 30, 2025 | 217.07 Mn |
| Jun 30, 2025 | 211.62 Mn |
| Mar 31, 2025 | 202.58 Mn |
| Dec 31, 2024 | 193.27 Mn |
| Sep 30, 2024 | 214.41 Mn |
| Jun 30, 2024 | 173.25 Mn |
| Mar 31, 2024 | 183.98 Mn |
| Dec 31, 2023 | 169.48 Mn |
| Sep 30, 2023 | 206.59 Mn |
| Jun 30, 2023 | 204.52 Mn |
| Mar 31, 2023 | 170.18 Mn |
| Dec 31, 2022 | 151.38 Mn |
| Sep 30, 2022 | 106.11 Mn |
| Jun 30, 2022 | 103.02 Mn |
| Mar 31, 2022 | 90.74 Mn |
| Dec 31, 2021 | 79.48 Mn |
| Sep 30, 2021 | 78.30 Mn |
Powell Industries Receivables - Net 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=receivables-net&ticker=POWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();