Information Services (III) Goodwill (2010 - 2026)
Information Services (III) posted Goodwill of $89.06 million for Q3 2026, down 0.3% from $89.34 million a year earlier and unchanged from the prior quarter.
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Analysis
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 increased in four of the last eight quarters, with an average decline of 2.8%.
- 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 $89.06 million (Q2 2026), $89.33 million (Q1 2026) and $89.38 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn |
| 10 | Information Services | 290.11 Mn | 186.53 Mn | 28.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.06 Mn |
| 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 |
API Access
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_KEYimport 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();