Powell Industries (POWL) Gains from Sales and Divestitures (2014 - 2022)
Powell Industries' Gains from Sales and Divestitures was $2.01 million in FY2022 (year ended Sep 30, 2022).
Analysis
Powell Industries (POWL) Gains from Sales and Divestitures (2014 - 2022) Analysis & Trends
From FY2014 onward, Powell Industries has reported Gains from Sales and Divestitures for 6 fiscal years.
- Gains from Sales and Divestitures shows a five-year compound annual growth rate of -0.2% (FY2017 to FY2022).
- The FY2022 figure marks the highest annual Gains from Sales and Divestitures since FY2017.
- Per Business Quant data, Gains from Sales and Divestitures in earlier fiscal years was $507,000 in FY2018 (-75.0%).
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, 2022 | 2.00 Mn |
| Dec 31, 2017 | 507,000.00 |
| Sep 30, 2017 | 507,000.00 |
| Jun 30, 2017 | 507,000.00 |
| Mar 31, 2017 | 508,000.00 |
| Dec 31, 2016 | 507,000.00 |
| Sep 30, 2016 | 507,000.00 |
| Jun 30, 2016 | 507,000.00 |
| Mar 31, 2016 | 508,000.00 |
| Dec 31, 2015 | 507,000.00 |
| Sep 30, 2015 | 507,000.00 |
| Jun 30, 2015 | 507,000.00 |
| Mar 31, 2015 | 508,000.00 |
| Dec 31, 2014 | 507,000.00 |
| Sep 30, 2014 | 508,000.00 |
| Jun 30, 2014 | 507,000.00 |
API Access
Powell Industries Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=POWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();