Automatic Data Processing (ADP) Cash from Operations (2009 - 2026)
Automatic Data Processing (ADP) reported Cash from Operations of $1.43 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.8% from $1.44 billion a year earlier and down 36.2% from the prior quarter.
Automatic Data Processing (ADP) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Cash from Operations of $5.44 billion, up 10.2% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $4.94 billion in FY2025 (+18.8%), $4.16 billion in FY2024 (-1.2%), $4.21 billion in FY2023 (+35.8%) and $3.1 billion in FY2022 (+0.2%).
- Five-year quarterly Cash from Operations spans a low of $121.9 million in fiscal Q1 2022 and a high of $2.24 billion in fiscal Q3 2026.
- Year over year, Cash from Operations gained in five of the last eight quarters, with growth averaging 24.8%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2023 (growth of 489.1%); the low point was fiscal Q1 2022 (a decline of 74.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.24 billion (Q3 2026), $1.13 billion (Q2 2026) and $642.3 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.22 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 23.10 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 3.66 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 1.27 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 587.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 1.43 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 1.33 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -4.14 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 921.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 2.24 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 642.30 Mn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 824.40 Mn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.50 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 326.50 Mn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 899.70 Mn |
| Sep 30, 2022 | 718.10 Mn |
| Jun 30, 2022 | 912.90 Mn |
| Mar 31, 2022 | 971.00 Mn |
| Dec 31, 2021 | 1.09 Bn |
| Sep 30, 2021 | 121.90 Mn |
Automatic Data Processing Cash from Operations 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=cash-from-operations&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();