Automatic Data Processing (ADP) Amortization of Deferred Charges (2017 - 2026)
Automatic Data Processing's Amortization of Deferred Charges was $301.5 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.8% from $293.3 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Amortization of Deferred Charges (2017 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amortization of Deferred Charges at Automatic Data Processing came in at $1.2 billion, up 4.8% from FY2025.
- Amortization of Deferred Charges has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, Amortization of Deferred Charges was $1.15 billion in FY2025 (+7.3%), $1.07 billion in FY2024 (+7.5%), $992.9 million in FY2023 (+3.9%) and $955.2 million in FY2022 (+2.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Amortization of Deferred Charges in data going back to fiscal Q1 2018.
- Compared with a year earlier, Amortization of Deferred Charges has increased for 32 straight quarters, with growth averaging 6.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Amortization of Deferred Charges ran from 1.6% in fiscal Q3 2022 to 7.9% in fiscal Q2 2024.
- Per Business Quant data, ADP's Amortization of Deferred Charges in the three fiscal quarters before Q4 2026 was $300.9 million (Q3 2026), $299.5 million (Q2 2026) and $298.6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.50 Mn |
| Mar 31, 2026 | 300.90 Mn |
| Dec 31, 2025 | 299.50 Mn |
| Sep 30, 2025 | 298.60 Mn |
| Jun 30, 2025 | 293.30 Mn |
| Mar 31, 2025 | 286.10 Mn |
| Dec 31, 2024 | 284.50 Mn |
| Sep 30, 2024 | 281.40 Mn |
| Jun 30, 2024 | 272.60 Mn |
| Mar 31, 2024 | 268.30 Mn |
| Dec 31, 2023 | 264.40 Mn |
| Sep 30, 2023 | 262.30 Mn |
| Jun 30, 2023 | 254.80 Mn |
| Mar 31, 2023 | 249.50 Mn |
| Dec 31, 2022 | 245.10 Mn |
| Sep 30, 2022 | 243.50 Mn |
| Jun 30, 2022 | 240.90 Mn |
| Mar 31, 2022 | 239.40 Mn |
| Dec 31, 2021 | 237.60 Mn |
| Sep 30, 2021 | 237.30 Mn |
API Access
Automatic Data Processing Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();