Automatic Data Processing (ADP) Dividends Paid - Common and Preferred (2009 - 2026)
Analysis
Automatic Data Processing (ADP) Dividends Paid - Common and Preferred (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 1.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | - |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 364.00 Mn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 677.00 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | - |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 332.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | -275.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 90.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 677.00 Mn |
| Jun 30, 2026 | 683.20 Mn |
| Mar 31, 2026 | 687.10 Mn |
| Dec 31, 2025 | 629.30 Mn |
| Sep 30, 2025 | 626.70 Mn |
| Jun 30, 2025 | 625.80 Mn |
| Mar 31, 2025 | 628.00 Mn |
| Dec 31, 2024 | 572.50 Mn |
| Sep 30, 2024 | 572.60 Mn |
| Jun 30, 2024 | 575.10 Mn |
| Mar 31, 2024 | 575.90 Mn |
| Dec 31, 2023 | 516.30 Mn |
| Sep 30, 2023 | 515.80 Mn |
| Jun 30, 2023 | 517.50 Mn |
| Mar 31, 2023 | 520.60 Mn |
| Dec 31, 2022 | 432.60 Mn |
| Sep 30, 2022 | 432.90 Mn |
| Jun 30, 2022 | 434.30 Mn |
| Mar 31, 2022 | 437.70 Mn |
| Dec 31, 2021 | 393.80 Mn |
API Access
Automatic Data Processing Dividends Paid - Common and Preferred 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=dividends-paid-common-and-prefferd&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();