Automatic Data Processing (ADP) Gains from Sales and Divestitures (2009 - 2021)
Automatic Data Processing's Gains from Sales and Divestitures was $66 million in FY2012 (year ended Jun 30, 2012).
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Analysis
Automatic Data Processing (ADP) Gains from Sales and Divestitures (2009 - 2021) Analysis & Trends
- Per Business Quant data, Gains from Sales and Divestitures in earlier fiscal years was -$2.3 million in FY2010 and -$2.2 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - |
| 10 | Strategy | 51.39 Bn | 44.38 Bn | 81.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 1.30 Mn |
| Jun 30, 2021 | 6.40 Mn |
| Mar 31, 2021 | 1.60 Mn |
| Dec 31, 2020 | 1.60 Mn |
| Sep 30, 2020 | 200,000.00 |
| Jun 30, 2020 | 3.90 Mn |
| Dec 31, 2019 | 200,000.00 |
| Sep 30, 2019 | 1.90 Mn |
| Jun 30, 2019 | 15.70 Mn |
| Dec 31, 2018 | 4.10 Mn |
| Jun 30, 2018 | 700,000.00 |
| Dec 31, 2016 | 121.40 Mn |
| Dec 31, 2015 | 13.90 Mn |
| Sep 30, 2015 | 21.80 Mn |
| Jun 30, 2015 | 78.40 Mn |
| Mar 31, 2014 | 10.50 Mn |
| Dec 31, 2012 | 36.70 Mn |
| Dec 31, 2010 | 3.60 Mn |
| Sep 30, 2010 | -1.80 Mn |
| Jun 30, 2010 | -800,000.00 |
API Access
Automatic Data Processing Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();