Automatic Data Processing (ADP) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Automatic Data Processing (ADP) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | - |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | -52.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | -7.45 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 100,000.00 |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | - |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | -29.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100,000.00 |
| Dec 31, 2025 | -23.40 Mn |
| Sep 30, 2025 | 500,000.00 |
| Mar 31, 2025 | -4.50 Mn |
| Dec 31, 2024 | -1.16 Bn |
| Sep 30, 2023 | -33.60 Mn |
| Mar 31, 2023 | -18.00 Mn |
| Dec 31, 2022 | -14.40 Mn |
| Jun 30, 2019 | -5.10 Mn |
| Dec 31, 2018 | -700,000.00 |
| Sep 30, 2018 | -119.70 Mn |
| Mar 31, 2018 | -125.00 Mn |
| Dec 31, 2017 | -487.40 Mn |
| Jun 30, 2017 | -700,000.00 |
| Mar 31, 2017 | -66.70 Mn |
| Dec 31, 2016 | 234.00 Mn |
| Sep 30, 2016 | -20.00 Mn |
| Dec 31, 2015 | -300,000.00 |
| Sep 30, 2015 | 162.50 Mn |
| Jun 30, 2015 | 98.60 Mn |
API Access
Automatic Data Processing Net of Acquisitions & 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=net-of-acquisitions-and-divestments&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-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=net-of-acquisitions-and-divestments&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();