Worthington Enterprises (WOR) Cash from Restructuring (2009 - 2012)
Worthington Enterprises' Cash from Restructuring came in at $1.55 million for FY2013 (year ended May 31, 2013), down 83.0% from $9.12 million in FY2012.
Worthington Enterprises (WOR) Cash from Restructuring (2009 - 2012) Analysis & Trends
Going back to FY2009, Worthington Enterprises' Cash from Restructuring data covers 5 fiscal years.
- Cash from Restructuring carries a four-year compound annual growth rate of -35.5% (FY2009 to FY2013).
- The five-year range for annual Cash from Restructuring is $203,000 (FY2011) to $9.12 million (FY2012).
- Per Business Quant, earlier fiscal years put Cash from Restructuring at $9.12 million in FY2012, $203,000 in FY2011 (-94.0%), $3.41 million in FY2010 (-61.8%) and $8.93 million in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.37 Bn | 96.09 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.50 Bn | 87.23 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.17 Bn | 44.42 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.04 Bn | 40.35 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.53 Bn | 23.95 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.20 Bn | 14.27 Bn | 548.70 Mn |
| 7 | Masco | 14.85 Bn | 12.70 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.51 Bn | 9.85 Bn | 568.40 Mn |
| 9 | Allegion | 13.35 Bn | 12.06 Bn | 517.50 Mn |
| 10 | Worthington Enterprises | 3.11 Bn | 2.84 Bn | 90.90 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2012 | 1.44 Mn |
| Feb 29, 2012 | 2.47 Mn |
| Nov 30, 2011 | 1.71 Mn |
| Aug 31, 2011 | 3.51 Mn |
| May 31, 2011 | -22,000.00 |
| Nov 30, 2010 | -32,000.00 |
| Aug 31, 2010 | 257,000.00 |
| May 31, 2010 | 161,000.00 |
| Feb 28, 2010 | 147,000.00 |
| Nov 30, 2009 | 277,000.00 |
| Aug 31, 2009 | 2.82 Mn |
Worthington Enterprises Cash from Restructuring 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=cash-from-restructuring&ticker=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-restructuring", "ticker": "WOR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-restructuring&ticker=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();