Griffon (GFF) Restructuring Costs (2010 - 2016)
Griffon (GFF) posted Restructuring Costs of $5.9 million for FY2016 (year ended Sep 30, 2016).
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Analysis
Griffon (GFF) Restructuring Costs (2010 - 2016) Analysis & Trends
Since FY2009, Griffon has reported Restructuring Costs for 7 fiscal years.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -4.8% (FY2011 to FY2016).
- The FY2016 figure stands as the lowest annual Restructuring Costs since FY2012.
- Business Quant data shows GFF's Restructuring Costs at $6.14 million in FY2014 (-53.7%), $13.26 million in FY2013 (+182.8%) and $4.69 million in FY2012 (-37.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 5.90 Mn |
| Sep 30, 2014 | 4.24 Mn |
| Jun 30, 2014 | 358,000.00 |
| Mar 31, 2014 | 692,000.00 |
| Dec 31, 2013 | 842,000.00 |
| Sep 30, 2013 | 1.21 Mn |
| Jun 30, 2013 | 1.60 Mn |
| Mar 31, 2013 | 9.34 Mn |
| Dec 31, 2012 | 1.11 Mn |
| Sep 30, 2012 | 2.89 Mn |
| Dec 31, 2011 | 1.80 Mn |
| Sep 30, 2011 | 2.82 Mn |
| Jun 30, 2011 | 2.12 Mn |
| Mar 31, 2011 | 1.21 Mn |
| Dec 31, 2010 | 1.39 Mn |
| Sep 30, 2010 | 460,000.00 |
| Jun 30, 2010 | 1.49 Mn |
API Access
Griffon 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=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GFF", "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=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();