Automatic Data Processing (ADP) Acquisitions (2009 - 2025)
Automatic Data Processing's (ADP) quarterly Acquisitions came in at $4.5 million in Q1 2025, up 95.65% quarter-over-quarter from $2.3 million in Q4 2024.
Automatic Data Processing (ADP) Acquisitions (2009 - 2025) Analysis & Trends
Automatic Data Processing (ADP) has reported Acquisitions for 14 consecutive years, with $4.5 million the latest figure, recorded in Q1 2025.
- On a quarterly basis, Acquisitions changed N/A year-over-year to $4.5 million in Q1 2025; TTM through Jun 2025 was $6.8 million, a 79.76% decrease from a year earlier, with the FY2026 full-year figure at $22.8 million, down 98.04% from the prior year.
- Acquisitions was $4.5 million for Q1 2025 at Automatic Data Processing, up from $2.3 million in the prior quarter.
- Over five years, Acquisitions peaked at $33.6 million in Q3 2023 and troughed at $2.3 million in Q4 2024.
- A 4-year average of $14.6 million and a median of $14.4 million in 2022 frame the typical range for Acquisitions.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -1.15 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 52.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 7.45 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | - |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | - |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | - |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 2.30 Mn |
| 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 |
| Sep 30, 2016 | 20.00 Mn |
| Sep 30, 2014 | 8.10 Mn |
| Jun 30, 2013 | 26.70 Mn |
| Mar 31, 2013 | 14.60 Mn |
| Sep 30, 2012 | 700,000.00 |
| Jun 30, 2012 | 65.90 Mn |
| Mar 31, 2012 | 23.50 Mn |
| Dec 31, 2011 | 174.40 Mn |
Automatic Data Processing Acquisitions 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=acquisitions&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();