Powell Industries (POWL) Net Long-Term Debt Issued (Repaid) (2009 - 2021)
Powell Industries (POWL) posted Net Long-Term Debt Issued (Repaid) of -$400,000 for FY2022 (year ended Sep 30, 2022), compared with -$400,000 in FY2021.
Powell Industries (POWL) Net Long-Term Debt Issued (Repaid) (2009 - 2021) Analysis & Trends
Since FY2010, Powell Industries has reported Net Long-Term Debt Issued (Repaid) for 13 fiscal years.
- Business Quant data shows POWL's Net Long-Term Debt Issued (Repaid) at -$400,000 in FY2021, -$400,000 in FY2020, -$400,000 in FY2019 and -$400,000 in FY2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 3.16 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | -937.90 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | -10.74 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | -2.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 7.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 2.53 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | -2.36 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | -15.30 Mn |
| 10 | Powell Industries | 5.04 Bn | 2.88 Bn | 95.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -400,000.00 |
| Dec 31, 2020 | -400,000.00 |
| Dec 31, 2019 | -400,000.00 |
| Dec 31, 2018 | -400,000.00 |
| Dec 31, 2017 | -400,000.00 |
| Dec 31, 2016 | -400,000.00 |
| Dec 31, 2015 | -400,000.00 |
| Dec 31, 2014 | -400,000.00 |
| Dec 31, 2013 | -400,000.00 |
| Sep 30, 2013 | 4.83 Mn |
| Sep 30, 2012 | 7.59 Mn |
| Mar 31, 2011 | -262,000.00 |
| Dec 31, 2010 | 254,000.00 |
| Sep 30, 2010 | -10.72 Mn |
| Jun 30, 2010 | -1.28 Mn |
| Dec 31, 2009 | -1.22 Mn |
Powell Industries Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=POWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();