Toro (TTC) Restructuring Costs (2010 - 2016)
Toro (TTC) posted Restructuring Costs of $27.02 million for fiscal Q4 2016 (quarter ended Oct 31, 2016), up 1.1% from $26.73 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Toro (TTC) Restructuring Costs (2010 - 2016) Analysis & Trends
For FY2016 (ended Oct 31, 2016), Toro's Restructuring Costs came in at $95.29 million, up 0.1% from FY2015.
- Annual Restructuring Costs has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 5.6% (FY2011 to FY2016).
- In prior fiscal years, Toro's Restructuring Costs was $95.17 million in FY2015 (+7.5%), $88.54 million in FY2014 (+3.7%), $85.36 million in FY2013 (+4.9%) and $81.38 million in FY2012 (+11.9%).
- The fiscal Q4 2016 figure stands as the highest quarterly Restructuring Costs in data going back to fiscal Q3 2010.
- On a year-over-year basis, Restructuring Costs increased in six of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was fiscal Q3 2012, with growth of 28.1%; the weakest was fiscal Q3 2016, with a decline of 26.4%.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was $19.87 million (Q3 2016), $23.58 million (Q2 2016) and $24.78 million (Q1 2016).
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 | Toro | 9.19 Bn | 8.30 Bn | 418.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2016 | 27.02 Mn |
| Jul 29, 2016 | 19.87 Mn |
| Apr 29, 2016 | 23.58 Mn |
| Jan 29, 2016 | 24.78 Mn |
| Oct 31, 2015 | 26.73 Mn |
| Jul 31, 2015 | 26.99 Mn |
| May 1, 2015 | 19.48 Mn |
| Jan 30, 2015 | 21.97 Mn |
| Oct 31, 2014 | 26.09 Mn |
| Aug 1, 2014 | 22.10 Mn |
| May 2, 2014 | 16.66 Mn |
| Jan 31, 2014 | 22.57 Mn |
| Oct 31, 2013 | 24.06 Mn |
| Aug 2, 2013 | 18.99 Mn |
| May 3, 2013 | 20.64 Mn |
| Feb 1, 2013 | 21.68 Mn |
| Oct 31, 2012 | 20.39 Mn |
| Aug 3, 2012 | 19.81 Mn |
| May 4, 2012 | 21.72 Mn |
| Feb 3, 2012 | 19.47 Mn |
API Access
Toro 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=TTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "TTC", "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=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();