Automatic Data Processing (ADP) FCF Payout Ratio (2009 - 2026)
Automatic Data Processing's (ADP) quarterly FCF Payout Ratio came in at 0.5 in Q2 2026, up 13.19% year-over-year from 0.45 in Q2 2025, and up 60.49% quarter-over-quarter from 0.31 in Q1 2026.
Automatic Data Processing (ADP) FCF Payout Ratio (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported FCF Payout Ratio for 18 consecutive years, with 0.5 the latest figure, recorded in Q2 2026.
- On a quarterly basis, FCF Payout Ratio rose 13.19% year-over-year to 0.5 in Q2 2026; TTM through Jun 2026 was 0.5, a 0.41% change from a year earlier, with the FY2026 full-year figure at 0.5, changed 0.41% from the prior year.
- FCF Payout Ratio was 0.5 for Q2 2026 at Automatic Data Processing, up from 0.31 in the prior quarter.
- Over five years, FCF Payout Ratio peaked at 1.8 in Q3 2023 and troughed at 0.31 in Q1 2026.
- A 5-year average of 0.6 and a median of 0.5 in 2026 frame the typical range for FCF Payout Ratio.
- Across the five-year window, FCF Payout Ratio plunged 85.92% in 2022 and soared 179.08% in 2023, its largest moves.
- Over 5 years, FCF Payout Ratio stood at 0.51 in 2022, then increased by 3.77% to 0.53 in 2023, then dropped by 2.42% to 0.52 in 2024, then rose by 10.37% to 0.57 in 2025, then retreated by 11.37% to 0.5 in 2026.
- The last three FCF Payout Ratio figures came in at 0.5 (Q2 2026), 0.31 (Q1 2026), and 0.57 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (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 | 0.34 |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 0.50 |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 0.25 |
| 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 | 0.50 |
| Mar 31, 2026 | 0.31 |
| Dec 31, 2025 | 0.57 |
| Sep 30, 2025 | 1.05 |
| Jun 30, 2025 | 0.45 |
| Mar 31, 2025 | 0.42 |
| Dec 31, 2024 | 0.52 |
| Sep 30, 2024 | 0.75 |
| Jun 30, 2024 | 0.46 |
| Mar 31, 2024 | 0.40 |
| Dec 31, 2023 | 0.53 |
| Sep 30, 2023 | 1.80 |
| Jun 30, 2023 | 0.46 |
| Mar 31, 2023 | 0.38 |
| Dec 31, 2022 | 0.51 |
| Sep 30, 2022 | 0.64 |
| Jun 30, 2022 | 0.50 |
| Mar 31, 2022 | 0.48 |
| Dec 31, 2021 | 0.37 |
| Sep 30, 2021 | 4.57 |
Automatic Data Processing FCF Payout 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=fcf-payout-ratio&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-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=fcf-payout-ratio&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();