Automatic Data Processing (ADP) Net Cash Flow (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Net Cash Flow came in at -$1.9 billion in Q2 2026, up 39.0% year-over-year from -$1.4 billion in Q2 2025, and up 90.73% quarter-over-quarter from -$21.0 billion in Q1 2026.
Automatic Data Processing (ADP) Net Cash Flow (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Net Cash Flow for 18 consecutive years, with -$1.9 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Net Cash Flow rose 39.0% year-over-year to -$1.9 billion in Q2 2026; TTM through Jun 2026 was $5.6 billion, a 210.65% increase from a year earlier, with the FY2026 full-year figure at $5.6 billion, up 210.65% from the prior year.
- Net Cash Flow was -$1.9 billion for Q2 2026 at Automatic Data Processing, up from -$21.0 billion in the prior quarter.
- Over five years, Net Cash Flow peaked at $29.6 billion in Q4 2025 and troughed at -$21.0 billion in Q1 2026.
- A 5-year average of -$543.7 million and a median of -$1.9 billion in 2023 frame the typical range for Net Cash Flow.
- Across the five-year window, Net Cash Flow jumped 389.13% in 2022 and tumbled 307.71% in 2024, its largest moves.
- Over 5 years, Net Cash Flow stood at $7.7 billion in 2022, then decreased by 10.35% to $6.9 billion in 2023, then jumped by 101.24% to $13.9 billion in 2024, then jumped by 113.71% to $29.6 billion in 2025, then plunged by 106.58% to -$1.9 billion in 2026.
- The last three Net Cash Flow figures came in at -$1.9 billion (Q2 2026), -$21.0 billion (Q1 2026), and $29.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | -261.79 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 7.63 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 1.05 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -550.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | -193.00 Mn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -1.95 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -2.69 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -495.04 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.95 Bn |
| Mar 31, 2026 | -21.02 Bn |
| Dec 31, 2025 | 29.63 Bn |
| Sep 30, 2025 | -1.06 Bn |
| Jun 30, 2025 | -3.19 Bn |
| Mar 31, 2025 | -8.43 Bn |
| Dec 31, 2024 | 13.87 Bn |
| Sep 30, 2024 | -7.31 Bn |
| Jun 30, 2024 | -10.03 Bn |
| Mar 31, 2024 | 6.27 Bn |
| Dec 31, 2023 | 6.89 Bn |
| Sep 30, 2023 | -1.79 Bn |
| Jun 30, 2023 | -9.27 Bn |
| Mar 31, 2023 | 4.76 Bn |
| Dec 31, 2022 | 7.69 Bn |
| Sep 30, 2022 | -17.16 Bn |
| Jun 30, 2022 | -8.86 Bn |
| Mar 31, 2022 | 11.19 Bn |
| Dec 31, 2021 | -2.66 Bn |
| Sep 30, 2021 | 10.07 Bn |
Automatic Data Processing Net 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=net-cash-flow&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-cash-flow&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();