Information Services (III) Assets (2010 - 2026)
Information Services' Assets was $204.6 million in Q2 2026, up 2.0% from $200.67 million a year earlier and up 0.9% from the prior quarter.
Analysis
Information Services (III) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Assets at Information Services came in at $211 million, up 3.2% from FY2024.
- Assets shows a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In earlier years, Assets was $204.52 million in FY2024 (-17.3%), $247.35 million in FY2023 (+1.8%), $243.03 million in FY2022 (+2.6%) and $236.79 million in FY2021 (-1.1%).
- Quarterly Assets has moved between $200.67 million (Q2 2025) and $247.35 million (Q4 2023) over five years.
- Compared with a year earlier, Assets has increased for three straight quarters, with an average decline of 6.6% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q3 2023 (growth of 13.8%); the worst was Q4 2024 (a decline of 17.3%).
- Per Business Quant data, III's Assets in the three quarters before Q2 2026 was $202.79 million (Q1 2026), $211 million (Q4 2025) and $213.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.78 Bn | 107.06 Bn | 6.13 Bn | 68.81 Bn |
| 2 | Cintas | 87.70 Bn | 86.78 Bn | 1.55 Bn | 10.65 Bn |
| 3 | Iron Mountain | 34.02 Bn | 33.21 Bn | 1.07 Bn | 21.96 Bn |
| 4 | APi | 17.48 Bn | 14.52 Bn | 703.00 Mn | 9.95 Bn |
| 5 | Rollins | 16.12 Bn | 15.66 Bn | 569.95 Mn | 3.35 Bn |
| 6 | UL Solutions | 15.13 Bn | 13.89 Bn | 417.00 Mn | 3.12 Bn |
| 7 | Gartner | 14.69 Bn | 8.38 Bn | 1.19 Bn | 7.19 Bn |
| 8 | Aramark | 14.68 Bn | 12.62 Bn | 430.34 Mn | 13.97 Bn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | 14.56 Bn |
| 10 | Information Services | 284.98 Mn | 181.22 Mn | 31.97 Mn | 204.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.60 Mn |
| Mar 31, 2026 | 202.79 Mn |
| Dec 31, 2025 | 211.00 Mn |
| Sep 30, 2025 | 213.25 Mn |
| Jun 30, 2025 | 200.67 Mn |
| Mar 31, 2025 | 202.37 Mn |
| Dec 31, 2024 | 204.52 Mn |
| Sep 30, 2024 | 227.15 Mn |
| Jun 30, 2024 | 235.33 Mn |
| Mar 31, 2024 | 234.24 Mn |
| Dec 31, 2023 | 247.35 Mn |
| Sep 30, 2023 | 243.59 Mn |
| Jun 30, 2023 | 238.73 Mn |
| Mar 31, 2023 | 243.65 Mn |
| Dec 31, 2022 | 243.03 Mn |
| Sep 30, 2022 | 214.01 Mn |
| Jun 30, 2022 | 221.28 Mn |
| Mar 31, 2022 | 234.58 Mn |
| Dec 31, 2021 | 236.79 Mn |
| Sep 30, 2021 | 243.51 Mn |
API Access
Information Services Assets 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=assets&ticker=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();