Automatic Data Processing (ADP) Goodwill & Intangibles (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Goodwill & Intangibles came in at $4.9 billion in Q2 2026, up 1.25% year-over-year from $4.9 billion in Q2 2025, and little changed quarter-over-quarter from $4.9 billion in Q1 2026.
Automatic Data Processing (ADP) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Goodwill & Intangibles for 18 consecutive years, with $4.9 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles rose 1.25% year-over-year to $4.9 billion in Q2 2026; TTM through Jun 2026 was $4.9 billion, a 1.25% increase from a year earlier, with the FY2026 full-year figure at $4.9 billion, up 1.25% from the prior year.
- Goodwill & Intangibles was $4.9 billion for Q2 2026 at Automatic Data Processing, roughly flat from $4.9 billion in the prior quarter.
- Over five years, Goodwill & Intangibles peaked at $4.9 billion in Q2 2026 and troughed at $3.6 billion in Q2 2022.
- A 5-year average of $4.2 billion and a median of $3.7 billion in 2023 frame the typical range for Goodwill & Intangibles.
- Across the five-year window, Goodwill & Intangibles slumped 47.76% in 2022 and soared 34.34% in 2025, its largest moves.
- Over 5 years, Goodwill & Intangibles stood at $3.7 billion in 2022, then gained by 0.12% to $3.7 billion in 2023, then soared by 33.6% to $4.9 billion in 2024, then declined by 0.13% to $4.9 billion in 2025, then increased by 0.43% to $4.9 billion in 2026.
- The last three Goodwill & Intangibles figures came in at $4.9 billion (Q2 2026), $4.9 billion (Q1 2026), and $4.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 3.54 Bn |
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_KEY
import 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();