Information Services (III) Goodwill (2010 - 2026)
Information Services (III) posted Goodwill of $89.06 million for Q2 2026, up 1.7% from $87.54 million a year earlier but down 0.3% from the prior quarter.
Information Services (III) Goodwill (2010 - 2026) Analysis & Trends
At the end of FY2025, Information Services' Goodwill came in at $89.38 million, up 2.4% from FY2024.
- Annual Goodwill shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Information Services' Goodwill was $87.29 million in FY2024 (-10.2%), $97.23 million in FY2023 (+2.4%), $94.97 million in FY2022 (+4.6%) and $90.79 million in FY2021 (-0.2%).
- Quarterly Goodwill has run from a low of $87.29 million in Q4 2024 to a high of $97.23 million in Q4 2023 over five years.
- On a year-over-year basis, Goodwill has increased in each of the last four quarters, with an average decline of 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill in the past five years was Q3 2023, with growth of 4.9%; the weakest was Q4 2024, with a decline of 10.2%.
- According to Business Quant data, Goodwill for the three prior quarters was $89.33 million (Q1 2026), $89.38 million (Q4 2025) and $89.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.06 Mn |
| Mar 31, 2026 | 89.33 Mn |
| Dec 31, 2025 | 89.38 Mn |
| Sep 30, 2025 | 89.34 Mn |
| Jun 30, 2025 | 87.54 Mn |
| Mar 31, 2025 | 87.36 Mn |
| Dec 31, 2024 | 87.29 Mn |
| Sep 30, 2024 | 87.55 Mn |
| Jun 30, 2024 | 97.16 Mn |
| Mar 31, 2024 | 97.14 Mn |
| Dec 31, 2023 | 97.23 Mn |
| Sep 30, 2023 | 94.87 Mn |
| Jun 30, 2023 | 94.95 Mn |
| Mar 31, 2023 | 94.97 Mn |
| Dec 31, 2022 | 94.97 Mn |
| Sep 30, 2022 | 90.41 Mn |
| Jun 30, 2022 | 90.59 Mn |
| Mar 31, 2022 | 90.81 Mn |
| Dec 31, 2021 | 90.79 Mn |
| Sep 30, 2021 | 90.81 Mn |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();