Automatic Data Processing (ADP) Divestments (2014 - 2016)
Automatic Data Processing's Divestments came in at $234 million for FY2017 (year ended Jun 30, 2017), up 44.3% from $162.2 million in FY2016.
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Analysis
Automatic Data Processing (ADP) Divestments (2014 - 2016) Analysis & Trends
Going back to FY2009, Automatic Data Processing's Divestments data covers 7 fiscal years.
- Divestments has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 9.7% (FY2013 to FY2017).
- The FY2017 figure represents the highest annual Divestments in data going back to FY2009.
- Per Business Quant, earlier fiscal years put Divestments at $162.2 million in FY2016 (+64.5%), $98.6 million in FY2015 (+304.1%), $24.4 million in FY2014 (-84.9%) and $161.4 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | - |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | - |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | - |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | - |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -7.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 234.00 Mn |
| Dec 31, 2015 | -300,000.00 |
| Sep 30, 2015 | 162.50 Mn |
| Jun 30, 2015 | 98.60 Mn |
| Mar 31, 2014 | 24.40 Mn |
API Access
Automatic Data Processing 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=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "ADP", "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=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();