Automatic Data Processing (ADP) Free Cash Flow (2009 - 2026)
Automatic Data Processing's Free Cash Flow came in at $1.36 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.6% from $1.41 billion a year earlier and down 38.0% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Free Cash Flow (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Free Cash Flow was $5.24 billion, up 9.9% from FY2025.
- Free Cash Flow carries a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- Going back by fiscal year, Free Cash Flow was $4.77 billion in FY2025 (+20.8%), $3.95 billion in FY2024 (-1.3%), $4 billion in FY2023 (+36.8%) and $2.93 billion in FY2022 (+0.4%).
- The five-year range for quarterly Free Cash Flow is $86 million (fiscal Q1 2022) to $2.19 billion (fiscal Q3 2026).
- Year-over-year, Free Cash Flow increased in five of the last eight quarters, with growth averaging 27.2%.
- The fastest year-over-year change in Free Cash Flow over five years came in fiscal Q1 2023 (growth of 682.2%), and the weakest in fiscal Q1 2022 (a decline of 80.4%).
- Business Quant data shows ADP's Free Cash Flow at $2.19 billion (Q3 2026), $1.11 billion (Q2 2026) and $595.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.20 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | -5.40 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 3.80 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 1.10 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 473.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 1.36 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 1.30 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -5.91 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 744.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 2.19 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 595.60 Mn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.49 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 765.60 Mn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 977.60 Mn |
| Sep 30, 2023 | 287.20 Mn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 850.00 Mn |
| Sep 30, 2022 | 672.70 Mn |
| Jun 30, 2022 | 865.30 Mn |
| Mar 31, 2022 | 920.00 Mn |
| Dec 31, 2021 | 1.05 Bn |
| Sep 30, 2021 | 86.00 Mn |
API Access
Automatic Data Processing Free Cash Flow 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=free-cash-flow&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();