Automatic Data Processing (ADP) Ending Cash Balance (2009 - 2026)
Automatic Data Processing's Ending Cash Balance came in at $10.63 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 110.2% from $5.05 billion a year earlier but down 15.7% from the prior quarter.
Automatic Data Processing (ADP) Ending Cash Balance (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Ending Cash Balance data covers 63 quarters.
- Ending Cash Balance carries a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- Going back by fiscal year, Ending Cash Balance was $5.05 billion in FY2025 (-49.9%), $10.09 billion in FY2024 (+15.0%), $8.77 billion in FY2023 (-61.5%) and $22.78 billion in FY2022 (+73.3%).
- The five-year range for quarterly Ending Cash Balance is $2.79 billion (fiscal Q1 2025) to $33.66 billion (fiscal Q2 2026).
- Year-over-year, Ending Cash Balance has increased for four consecutive quarters, with growth averaging 20.0% over the last eight quarters.
- The fastest year-over-year change in Ending Cash Balance over five years came in fiscal Q1 2022 (growth of 123.8%), and the weakest in fiscal Q1 2023 (a decline of 76.0%).
- Business Quant data shows ADP's Ending Cash Balance at $12.6 billion (Q3 2026), $33.66 billion (Q2 2026) and $3.99 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 372.99 Bn | 337.93 Bn | 1.93 Bn | 3.65 Bn |
| 2 | Oracle | 347.94 Bn | 220.50 Bn | - | 38.93 Bn |
| 3 | Sap Se | 299.08 Bn | 227.06 Bn | 8.64 Bn | 10.62 Bn |
| 4 | Salesforce | 183.01 Bn | 138.88 Bn | 8.70 Bn | 8.31 Bn |
| 5 | Automatic Data Processing | 121.50 Bn | 108.30 Bn | 2.53 Bn | 10.71 Bn |
| 6 | ServiceNow | 106.24 Bn | 85.50 Bn | 2.90 Bn | 2.41 Bn |
| 7 | Intuit | 95.23 Bn | 74.58 Bn | 3.44 Bn | 9.22 Bn |
| 8 | Relx | 75.40 Bn | 74.52 Bn | - | - |
| 9 | Thomson Reuters | 52.55 Bn | 48.52 Bn | - | 1.39 Bn |
| 10 | Strategy | 52.02 Bn | 39.16 Bn | 89.63 Mn | 2.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.71 Bn |
| Jun 30, 2026 | 10.63 Bn |
| Mar 31, 2026 | 12.60 Bn |
| Dec 31, 2025 | 33.66 Bn |
| Sep 30, 2025 | 3.99 Bn |
| Jun 30, 2025 | 5.05 Bn |
| Mar 31, 2025 | 8.20 Bn |
| Dec 31, 2024 | 16.60 Bn |
| Sep 30, 2024 | 2.79 Bn |
| Jun 30, 2024 | 10.09 Bn |
| Mar 31, 2024 | 20.12 Bn |
| Dec 31, 2023 | 13.88 Bn |
| Sep 30, 2023 | 6.96 Bn |
| Jun 30, 2023 | 8.77 Bn |
| Mar 31, 2023 | 18.04 Bn |
| Dec 31, 2022 | 13.28 Bn |
| Sep 30, 2022 | 5.58 Bn |
| Jun 30, 2022 | 22.78 Bn |
| Mar 31, 2022 | 31.73 Bn |
| Dec 31, 2021 | 20.53 Bn |
Automatic Data Processing Ending Cash Balance 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=ending-cash-balance&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();