Automatic Data Processing (ADP) Change in Intangibles (2009 - 2026)
Automatic Data Processing (ADP) recorded Change in Intangibles of $117.1 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 24.4% from $94.1 million a year earlier and up 0.9% from the prior quarter.
Automatic Data Processing (ADP) Change in Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Automatic Data Processing's Change in Intangibles came in at $491.5 million as of Sep 30, 2026, up 25.5% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $468.5 million, up 23.8% from FY2025.
- Annual Change in Intangibles has a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Intangibles came in at $378.3 million in FY2025 (+6.6%), $355 million in FY2024 (-2.8%), $365.3 million in FY2023 (-3.6%) and $379 million in FY2022 (+15.8%).
- Quarterly Change in Intangibles has ranged from $78.7 million in fiscal Q2 2024 to $143.3 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Change in Intangibles has increased for eight consecutive quarters, with growth averaging 19.1% over the last eight quarters.
- Peak year-over-year performance for Change in Intangibles in the last five years was growth of 41.7% in fiscal Q3 2026, against a decline of 17.3% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $116.1 million (Q4 2026), $143.3 million (Q3 2026) and $115 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 117.10 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | - |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | - |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.10 Mn |
| Jun 30, 2026 | 116.10 Mn |
| Mar 31, 2026 | 143.30 Mn |
| Dec 31, 2025 | 115.00 Mn |
| Sep 30, 2025 | 94.10 Mn |
| Jun 30, 2025 | 101.50 Mn |
| Mar 31, 2025 | 101.10 Mn |
| Dec 31, 2024 | 94.80 Mn |
| Sep 30, 2024 | 80.90 Mn |
| Jun 30, 2024 | 91.80 Mn |
| Mar 31, 2024 | 97.50 Mn |
| Dec 31, 2023 | 78.70 Mn |
| Sep 30, 2023 | 87.00 Mn |
| Jun 30, 2023 | 80.00 Mn |
| Mar 31, 2023 | 106.90 Mn |
| Dec 31, 2022 | 92.10 Mn |
| Sep 30, 2022 | 86.30 Mn |
| Jun 30, 2022 | 96.70 Mn |
| Mar 31, 2022 | 101.60 Mn |
| Dec 31, 2021 | 87.50 Mn |
Automatic Data Processing Change in Intangibles 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=change-in-intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();