Automatic Data Processing (ADP) Operating Leases (2019 - 2026)
Automatic Data Processing's (ADP) quarterly Operating Leases came in at $410.3 million in Q2 2026, up 27.74% year-over-year from $321.2 million in Q2 2025, and down 2.22% quarter-over-quarter from $419.6 million in Q1 2026.
Automatic Data Processing (ADP) Operating Leases (2019 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Operating Leases for 8 consecutive years, with $410.3 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases rose 27.74% year-over-year to $410.3 million in Q2 2026; TTM through Jun 2026 was $410.3 million, a 27.74% increase from a year earlier, with the FY2026 full-year figure at $410.3 million, up 27.74% from the prior year.
- Operating Leases was $410.3 million for Q2 2026 at Automatic Data Processing, down from $419.6 million in the prior quarter.
- Over five years, Operating Leases peaked at $454.6 million in Q4 2025 and troughed at $321.2 million in Q2 2025.
- A 5-year average of $404.5 million and a median of $415.8 million in 2024 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases fell 7.41% in 2022 and rose 27.74% in 2026, its largest moves.
- Over 5 years, Operating Leases stood at $428.8 million in 2022, then declined by 1.28% to $423.3 million in 2023, then declined by 6.71% to $394.9 million in 2024, then rose by 15.12% to $454.6 million in 2025, then decreased by 9.74% to $410.3 million in 2026.
- The last three Operating Leases figures came in at $410.3 million (Q2 2026), $419.6 million (Q1 2026), and $454.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.70 Mn |
| Mar 31, 2026 | 318.20 Mn |
| Dec 31, 2025 | 347.60 Mn |
| Sep 30, 2025 | 341.70 Mn |
| Jun 30, 2025 | 321.20 Mn |
| Mar 31, 2025 | 283.20 Mn |
| Dec 31, 2024 | 300.30 Mn |
| Sep 30, 2024 | 316.10 Mn |
| Jun 30, 2024 | 328.60 Mn |
| Mar 31, 2024 | 309.10 Mn |
| Dec 31, 2023 | 326.80 Mn |
| Sep 30, 2023 | 334.30 Mn |
| Jun 30, 2023 | 349.90 Mn |
| Mar 31, 2023 | 332.10 Mn |
| Dec 31, 2022 | 334.10 Mn |
| Sep 30, 2022 | 348.50 Mn |
| Jun 30, 2022 | 370.90 Mn |
| Mar 31, 2022 | 344.90 Mn |
| Dec 31, 2021 | 363.50 Mn |
| Sep 30, 2021 | 345.70 Mn |
Automatic Data Processing Operating Leases 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=operating-leases&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();