Automatic Data Processing (ADP) Goodwill (2009 - 2026)
Automatic Data Processing's Goodwill came in at $3.28 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.3% from $3.27 billion a year earlier but down 0.1% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Goodwill (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Goodwill data covers 69 quarters.
- Goodwill has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- Going back by fiscal year, Goodwill was $3.27 billion in FY2025 (+39.1%), $2.35 billion in FY2024 (+0.6%), $2.34 billion in FY2023 (+1.7%) and $2.3 billion in FY2022 (-1.6%).
- The five-year range for quarterly Goodwill is $2.27 billion (fiscal Q1 2023) to $3.3 billion (fiscal Q3 2025).
- Year-over-year, Goodwill increased in seven of the last eight quarters, with growth averaging 19.5%.
- The fastest year-over-year change in Goodwill over five years came in fiscal Q3 2025 (growth of 40.1%), and the weakest in fiscal Q1 2023 (a decline of 2.3%).
- Business Quant data shows ADP's Goodwill at $3.29 billion (Q3 2026), $3.29 billion (Q2 2026) and $3.28 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 | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28 Bn |
| Mar 31, 2026 | 3.29 Bn |
| Dec 31, 2025 | 3.29 Bn |
| Sep 30, 2025 | 3.28 Bn |
| Jun 30, 2025 | 3.27 Bn |
| Mar 31, 2025 | 3.30 Bn |
| Dec 31, 2024 | 3.18 Bn |
| Sep 30, 2024 | 2.37 Bn |
| Jun 30, 2024 | 2.35 Bn |
| Mar 31, 2024 | 2.36 Bn |
| Dec 31, 2023 | 2.37 Bn |
| Sep 30, 2023 | 2.35 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 2.34 Bn |
| Dec 31, 2022 | 2.32 Bn |
| Sep 30, 2022 | 2.27 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.32 Bn |
| Dec 31, 2021 | 2.33 Bn |
| Sep 30, 2021 | 2.33 Bn |
API Access
Automatic Data Processing Goodwill 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&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();