Automatic Data Processing (ADP) Goodwill & Intangibles (2009 - 2026)
Automatic Data Processing's Goodwill & Intangibles came in at $4.94 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.3% from $4.88 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Goodwill & Intangibles data covers 69 quarters.
- Goodwill & Intangibles has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Going back by fiscal year, Goodwill & Intangibles was $4.88 billion in FY2025 (+32.2%), $3.69 billion in FY2024 (+0.2%), $3.68 billion in FY2023 (+1.4%) and $3.63 billion in FY2022 (-1.0%).
- The fiscal Q4 2026 figure represents the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2009.
- Year-over-year, Goodwill & Intangibles increased in seven of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q3 2025 (growth of 34.3%), and the weakest in fiscal Q3 2024 (a decline of 1.2%).
- Business Quant data shows ADP's Goodwill & Intangibles at $4.93 billion (Q3 2026), $4.92 billion (Q2 2026) and $4.87 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.94 Bn |
| Jun 30, 2026 | 4.94 Bn |
| Mar 31, 2026 | 4.93 Bn |
| Dec 31, 2025 | 4.92 Bn |
| Sep 30, 2025 | 4.87 Bn |
| Jun 30, 2025 | 4.88 Bn |
| Mar 31, 2025 | 4.90 Bn |
| Dec 31, 2024 | 4.92 Bn |
| Sep 30, 2024 | 3.70 Bn |
| Jun 30, 2024 | 3.69 Bn |
| Mar 31, 2024 | 3.65 Bn |
| Dec 31, 2023 | 3.68 Bn |
| Sep 30, 2023 | 3.68 Bn |
| Jun 30, 2023 | 3.68 Bn |
| Mar 31, 2023 | 3.70 Bn |
| Dec 31, 2022 | 3.68 Bn |
| Sep 30, 2022 | 3.64 Bn |
| Jun 30, 2022 | 3.63 Bn |
| Mar 31, 2022 | 3.65 Bn |
| Dec 31, 2021 | 3.55 Bn |
API Access
Automatic Data Processing Goodwill & 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=goodwill-and-intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();