Powell Industries (POWL) Pension (2010 - 2014)
Powell Industries' Pension came in at $784,000 for fiscal Q3 2014 (quarter ended Jun 30, 2014), up 0.9% from the prior quarter.
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Analysis
Powell Industries (POWL) Pension (2010 - 2014) Analysis & Trends
At the end of FY2013 (ended Sep 30, 2013), Powell Industries' Pension was $730,000, up 6.6% from FY2012.
- Pension carries a three-year compound annual growth rate of 11.1% (FY2010 to FY2013).
- Going back by fiscal year, Pension was $685,000 in FY2012 (-23.9%), $900,000 in FY2011 (+69.2%) and $532,000 in FY2010.
- The fiscal Q3 2014 figure represents the highest quarterly Pension since fiscal Q4 2011.
- Business Quant data shows POWL's Pension at $777,000 (Q2 2014), $757,000 (Q1 2014) and $730,000 (Q4 2013) in the three fiscal quarters before Q3 2014.
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, 2014 | 784,000.00 |
| Mar 31, 2014 | 777,000.00 |
| Dec 31, 2013 | 757,000.00 |
| Sep 30, 2013 | 730,000.00 |
| Sep 30, 2012 | 685,000.00 |
| Sep 30, 2011 | 900,000.00 |
| Sep 30, 2010 | 532,000.00 |
API Access
Powell Industries Pension 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=pension&ticker=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();