Automatic Data Processing (ADP) Dividend Coverage Ratio (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Dividend Coverage Ratio came in at 1.43 in Q2 2026, down 1.57% year-over-year from 1.46 in Q2 2025, and down 27.62% quarter-over-quarter from 1.98 in Q1 2026.
Automatic Data Processing (ADP) Dividend Coverage Ratio (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Dividend Coverage Ratio for 18 consecutive years, with 1.43 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Dividend Coverage Ratio fell 1.57% year-over-year to 1.43 in Q2 2026; TTM through Jun 2026 was 1.68, a 1.19% decrease from a year earlier, with the FY2026 full-year figure at 1.68, down 1.19% from the prior year.
- Dividend Coverage Ratio was 1.43 for Q2 2026 at Automatic Data Processing, down from 1.98 in the prior quarter.
- Over five years, Dividend Coverage Ratio peaked at 2.12 in Q1 2022 and troughed at 1.43 in Q2 2026.
- A 5-year average of 1.73 and a median of 1.69 in 2024 frame the typical range for Dividend Coverage Ratio.
- Across the five-year window, Dividend Coverage Ratio grew 6.59% in 2022 and decreased 9.48% in 2023, its largest moves.
- Over 5 years, Dividend Coverage Ratio stood at 1.88 in 2022, then slipped by 9.48% to 1.7 in 2023, then fell by 1.11% to 1.68 in 2024, then gained by 0.31% to 1.69 in 2025, then fell by 15.12% to 1.43 in 2026.
- The last three Dividend Coverage Ratio figures came in at 1.43 (Q2 2026), 1.98 (Q1 2026), and 1.69 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 2.99 |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | - |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 9.45 |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 1.43 |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 1.09 |
| 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 |
|---|---|
| Jun 30, 2026 | 1.43 |
| Mar 31, 2026 | 1.98 |
| Dec 31, 2025 | 1.69 |
| Sep 30, 2025 | 1.62 |
| Jun 30, 2025 | 1.46 |
| Mar 31, 2025 | 1.99 |
| Dec 31, 2024 | 1.68 |
| Sep 30, 2024 | 1.67 |
| Jun 30, 2024 | 1.44 |
| Mar 31, 2024 | 2.06 |
| Dec 31, 2023 | 1.70 |
| Sep 30, 2023 | 1.67 |
| Jun 30, 2023 | 1.50 |
| Mar 31, 2023 | 2.00 |
| Dec 31, 2022 | 1.88 |
| Sep 30, 2022 | 1.80 |
| Jun 30, 2022 | 1.44 |
| Mar 31, 2022 | 2.12 |
| Dec 31, 2021 | 1.76 |
| Sep 30, 2021 | 1.78 |
Automatic Data Processing Dividend Coverage Ratio 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-coverage-ratio&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "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-coverage-ratio&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();