Powell Industries (POWL) Restructuring Costs (2013 - 2020)
Powell Industries (POWL) posted Restructuring Costs of $1.4 million for FY2020 (year ended Sep 30, 2020), compared with $11,000 in FY2019.
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Analysis
Powell Industries (POWL) Restructuring Costs (2013 - 2020) Analysis & Trends
Since FY2013, Powell Industries has reported Restructuring Costs for 7 fiscal years.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -16.3% (FY2015 to FY2020).
- The FY2020 figure stands as the highest annual Restructuring Costs since FY2016.
- Business Quant data shows POWL's Restructuring Costs at $11,000 in FY2019 (-98.6%), $787,000 in FY2018 (-40.5%), $1.32 million in FY2017 (-84.3%) and $8.44 million in FY2016 (+148.3%).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 1.40 Mn |
| Sep 30, 2019 | -222,000.00 |
| Jun 30, 2019 | 233,000.00 |
| Sep 30, 2018 | 787,000.00 |
| Sep 30, 2017 | 482,000.00 |
| Mar 31, 2017 | 840,000.00 |
| Sep 30, 2016 | 738,000.00 |
| Jun 30, 2016 | 647,000.00 |
| Mar 31, 2016 | 3.30 Mn |
| Dec 31, 2015 | 3.80 Mn |
| Sep 30, 2015 | 662,000.00 |
| Jun 30, 2015 | 1.41 Mn |
| Mar 31, 2015 | 1.33 Mn |
| Sep 30, 2013 | 2.21 Mn |
| Jun 30, 2013 | 1.72 Mn |
API Access
Powell Industries Restructuring Costs 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=restructuring-costs&ticker=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();