Visteon (VC) Divestments (2010 - 2017)
Visteon (VC) posted Divestments of $15 million for FY2017, down 95.8% from $356 million in FY2016.
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Analysis
Visteon (VC) Divestments (2010 - 2017) Analysis & Trends
Since FY2009, Visteon has reported Divestments for 9 years.
- Annual Divestments shows a five-year compound annual growth rate of -39.9% (FY2012 to FY2017).
- The FY2017 figure stands as the lowest annual Divestments since FY2011.
- Business Quant data shows VC's Divestments at $356 million in FY2016 (-86.6%), $2.66 billion in FY2015, $66 million in FY2014 (-93.2%) and $977 million in FY2013 (+411.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | -92.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Visteon | 2.31 Bn | -468.64 Mn | 118.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 2.00 Mn |
| Jun 30, 2017 | 3.00 Mn |
| Mar 31, 2017 | 10.00 Mn |
| Dec 31, 2016 | 341.00 Mn |
| Sep 30, 2016 | 11.00 Mn |
| Jun 30, 2016 | 1.00 Mn |
| Mar 31, 2016 | 3.00 Mn |
| Jun 30, 2015 | 2.66 Bn |
| Mar 31, 2015 | 3.00 Mn |
| Dec 31, 2014 | 4.00 Mn |
| Sep 30, 2014 | 4.00 Mn |
| Jun 30, 2014 | 23.00 Mn |
| Mar 31, 2014 | 35.00 Mn |
| Dec 31, 2013 | 938.00 Mn |
| Jun 30, 2013 | 22.00 Mn |
| Mar 31, 2013 | 17.00 Mn |
| Dec 31, 2012 | 91.00 Mn |
| Dec 31, 2010 | 16.00 Mn |
API Access
Visteon Divestments 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=divestments&ticker=VC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "VC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=divestments&ticker=VC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();