Automatic Data Processing (ADP) Dividends Paid - Common and Prefferd (2009 - 2026)
Automatic Data Processing (ADP) reported Dividends Paid - Common and Prefferd of $683.2 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.2% from $625.8 million a year earlier but down 0.6% from the prior quarter.
Automatic Data Processing (ADP) Dividends Paid - Common and Prefferd (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Dividends Paid - Common and Prefferd of $2.63 billion, up 9.5% from FY2025.
- Dividends Paid - Common and Prefferd has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- By fiscal year, Dividends Paid - Common and Prefferd came in at $2.4 billion in FY2025 (+9.9%), $2.18 billion in FY2024 (+14.7%), $1.9 billion in FY2023 (+14.7%) and $1.66 billion in FY2022 (+5.3%).
- Five-year quarterly Dividends Paid - Common and Prefferd spans a low of $393.2 million in fiscal Q1 2022 and a high of $687.1 million in fiscal Q3 2026.
- Year over year, Dividends Paid - Common and Prefferd has now increased in each of the last 42 quarters, with growth averaging 9.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Dividends Paid - Common and Prefferd ranged from 0.6% (fiscal Q1 2022) to 19.3% (fiscal Q2 2024).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $687.1 million (Q3 2026), $629.3 million (Q2 2026) and $626.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.57 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | - |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 364.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 683.20 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 332.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | - |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 393.20 Mn |
Automatic Data Processing Dividends Paid - Common and Prefferd 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();