Automatic Data Processing (ADP) Depreciation & Amortization (CF) (2009 - 2026)
Automatic Data Processing's Depreciation & Amortization (CF) was $147.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.0% from $145.7 million a year earlier and up 0.5% from the prior quarter.
Automatic Data Processing (ADP) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Depreciation & Amortization (CF) at Automatic Data Processing came in at $585.9 million, up 0.6% from FY2025.
- Depreciation & Amortization (CF) has now increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation & Amortization (CF) was $582.4 million in FY2025 (+3.6%), $561.9 million in FY2024 (+2.3%), $549.3 million in FY2023 (+6.6%) and $515.1 million in FY2022 (+0.9%).
- The fiscal Q4 2026 figure marks the highest quarterly Depreciation & Amortization (CF) since fiscal Q2 2025.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in five of the last eight quarters, with growth averaging 2.2%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q2 2023 (growth of 8.1%); the worst was fiscal Q2 2026 (a decline of 3.6%).
- Per Business Quant data, ADP's Depreciation & Amortization (CF) in the three fiscal quarters before Q4 2026 was $146.4 million (Q3 2026), $145.6 million (Q2 2026) and $146.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 8.22 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 3.20 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 367.31 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 966.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 407.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 147.20 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 12.36 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 27.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.20 Mn |
| Mar 31, 2026 | 146.40 Mn |
| Dec 31, 2025 | 145.60 Mn |
| Sep 30, 2025 | 146.70 Mn |
| Jun 30, 2025 | 145.70 Mn |
| Mar 31, 2025 | 147.10 Mn |
| Dec 31, 2024 | 151.00 Mn |
| Sep 30, 2024 | 138.60 Mn |
| Jun 30, 2024 | 135.70 Mn |
| Mar 31, 2024 | 144.60 Mn |
| Dec 31, 2023 | 140.10 Mn |
| Sep 30, 2023 | 141.50 Mn |
| Jun 30, 2023 | 140.40 Mn |
| Mar 31, 2023 | 137.00 Mn |
| Dec 31, 2022 | 136.80 Mn |
| Sep 30, 2022 | 135.10 Mn |
| Jun 30, 2022 | 130.50 Mn |
| Mar 31, 2022 | 129.00 Mn |
| Dec 31, 2021 | 126.50 Mn |
| Sep 30, 2021 | 129.10 Mn |
Automatic Data Processing Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();