Automatic Data Processing (ADP) Change in Cash (2009 - 2026)
Automatic Data Processing (ADP) posted Change in Cash of $80.2 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$1.06 billion a year earlier.
Powered by 
Analysis
Automatic Data Processing (ADP) Change in Cash (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Cash at Automatic Data Processing was $6.71 billion, up 459.4% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $5.57 billion.
- Annual Change in Cash shows a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Change in Cash was -$5.03 billion in FY2025, $1.31 billion in FY2024, -$14.01 billion in FY2023 and $9.64 billion in FY2022 (+58.3%).
- Quarterly Change in Cash has run from a low of -$21.06 billion in fiscal Q3 2026 to a high of $29.67 billion in fiscal Q2 2026 over five years.
- According to Business Quant data, Change in Cash for the three prior fiscal quarters was -$1.97 billion (Q4 2026), -$21.06 billion (Q3 2026) and $29.67 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 1.59 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 7.65 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | -1.32 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | -625.00 Mn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 80.20 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | -112.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | -2.70 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 789.44 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 817.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.20 Mn |
| Jun 30, 2026 | -1.97 Bn |
| Mar 31, 2026 | -21.06 Bn |
| Dec 31, 2025 | 29.67 Bn |
| Sep 30, 2025 | -1.06 Bn |
| Jun 30, 2025 | -3.14 Bn |
| Mar 31, 2025 | -8.41 Bn |
| Dec 31, 2024 | 13.81 Bn |
| Sep 30, 2024 | -7.29 Bn |
| Jun 30, 2024 | -10.04 Bn |
| Mar 31, 2024 | 6.25 Bn |
| Dec 31, 2023 | 6.92 Bn |
| Sep 30, 2023 | -1.81 Bn |
| Jun 30, 2023 | -9.27 Bn |
| Mar 31, 2023 | 4.76 Bn |
| Dec 31, 2022 | 7.71 Bn |
| Sep 30, 2022 | -17.21 Bn |
| Jun 30, 2022 | -8.95 Bn |
| Mar 31, 2022 | 11.20 Bn |
| Dec 31, 2021 | -2.66 Bn |
API Access
Automatic Data Processing Change in Cash 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=change-in-cash&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();