Automatic Data Processing (ADP) Dividend Yield (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Dividend Yield came in at 0.77% in Q2 2026, up 27.0% year-over-year from 0.6% in Q2 2025, and down 9.15% quarter-over-quarter from 0.84% in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Dividend Yield (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Dividend Yield for 18 consecutive years, with 0.77% the latest figure, recorded in Q2 2026.
- On a quarterly basis, Dividend Yield rose 27.0% year-over-year to 0.77% in Q2 2026; TTM through Jun 2026 was 2.95%, a 103.0% increase from a year earlier, with the FY2026 full-year figure at 2.95%, up 103.0% from the prior year.
- Dividend Yield was 0.77% for Q2 2026 at Automatic Data Processing, down from 0.84% in the prior quarter.
- Over five years, Dividend Yield peaked at 0.84% in Q1 2026 and troughed at 0.44% in Q4 2022.
- A 5-year average of 0.55% and a median of 0.52% in 2023 frame the typical range for Dividend Yield.
- Across the five-year window, Dividend Yield slipped 9 bps in 2025 and jumped 34 bps in 2026, its largest moves.
- Over 5 years, Dividend Yield stood at 0.44% in 2022, then rose by 23 bps to 0.54% in 2023, then slipped by 11 bps to 0.48% in 2024, then grew by 26 bps to 0.61% in 2025, then grew by 26 bps to 0.77% in 2026.
- The last three Dividend Yield figures came in at 0.77% (Q2 2026), 0.84% (Q1 2026), and 0.61% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95% |
| Mar 31, 2026 | 3.16% |
| Dec 31, 2025 | 2.42% |
| Sep 30, 2025 | 2.06% |
| Jun 30, 2025 | 1.92% |
| Mar 31, 2025 | 1.89% |
| Dec 31, 2024 | 1.93% |
| Sep 30, 2024 | 1.99% |
| Jun 30, 2024 | 2.24% |
| Mar 31, 2024 | 2.08% |
| Dec 31, 2023 | 2.16% |
| Sep 30, 2023 | 2.01% |
| Jun 30, 2023 | 2.10% |
| Mar 31, 2023 | 1.98% |
| Dec 31, 2022 | 1.76% |
| Sep 30, 2022 | 1.81% |
| Jun 30, 2022 | 1.90% |
| Mar 31, 2022 | 1.70% |
| Dec 31, 2021 | 1.52% |
| Sep 30, 2021 | 1.87% |
API Access
Automatic Data Processing Dividend Yield 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=dividend-yield&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();