Automatic Data Processing (ADP) Intangibles (2009 - 2026)
Automatic Data Processing (ADP) recorded Intangibles of $1.66 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.6% from $1.6 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Automatic Data Processing reported Intangibles of $1.65 billion, up 3.1% from FY2025.
- Annual Intangibles has a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- Across earlier fiscal years, Intangibles came in at $1.6 billion in FY2025 (+20.0%), $1.34 billion in FY2024 (-0.6%), $1.34 billion in FY2023 (+0.8%) and $1.33 billion in FY2022 (unchanged).
- The fiscal Q1 2027 figure is the highest quarterly Intangibles since fiscal Q2 2025.
- On a year-over-year basis, Intangibles has increased for three consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 32.2% in fiscal Q2 2025, against a decline of 6.7% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.65 billion (Q4 2026), $1.64 billion (Q3 2026) and $1.62 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | - |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 3.17 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 6.14 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 1.66 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 3.59 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 4.64 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | 4.12 Bn |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 70.82 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 3.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.66 Bn |
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.64 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.60 Bn |
| Jun 30, 2025 | 1.60 Bn |
| Mar 31, 2025 | 1.60 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.30 Bn |
| Dec 31, 2023 | 1.32 Bn |
| Sep 30, 2023 | 1.33 Bn |
| Jun 30, 2023 | 1.34 Bn |
| Mar 31, 2023 | 1.36 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.37 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.33 Bn |
| Dec 31, 2021 | 1.22 Bn |
API Access
Automatic Data Processing 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=intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();