Information Services (III) Non-Current Assets (2010 - 2026)
Information Services' Non-Current Assets was $113.92 million in Q2 2026, up 3.8% from $109.76 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Information Services (III) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Information Services came in at $116.93 million, up 3.3% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $113.23 million in FY2024 (-15.8%), $134.5 million in FY2023 (+5.5%), $127.55 million in FY2022 (+5.7%) and $120.68 million in FY2021 (-3.4%).
- Quarterly Non-Current Assets has moved between $109.76 million (Q2 2025) and $134.5 million (Q4 2023) over five years.
- Compared with a year earlier, Non-Current Assets has increased for three straight quarters, with an average decline of 5.5% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2023 (growth of 7.8%); the worst was Q2 2025 (a decline of 17.5%).
- Per Business Quant data, III's Non-Current Assets in the three quarters before Q2 2026 was $115.74 million (Q1 2026), $116.93 million (Q4 2025) and $119.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 10.46 Bn |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 113.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.92 Mn |
| Mar 31, 2026 | 115.74 Mn |
| Dec 31, 2025 | 116.93 Mn |
| Sep 30, 2025 | 119.03 Mn |
| Jun 30, 2025 | 109.76 Mn |
| Mar 31, 2025 | 112.26 Mn |
| Dec 31, 2024 | 113.23 Mn |
| Sep 30, 2024 | 130.26 Mn |
| Jun 30, 2024 | 133.01 Mn |
| Mar 31, 2024 | 134.36 Mn |
| Dec 31, 2023 | 134.50 Mn |
| Sep 30, 2023 | 125.17 Mn |
| Jun 30, 2023 | 125.82 Mn |
| Mar 31, 2023 | 127.23 Mn |
| Dec 31, 2022 | 127.55 Mn |
| Sep 30, 2022 | 116.06 Mn |
| Jun 30, 2022 | 117.76 Mn |
| Mar 31, 2022 | 120.10 Mn |
| Dec 31, 2021 | 120.68 Mn |
| Sep 30, 2021 | 120.16 Mn |
API Access
Information Services Non-Current 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=non-current-assets&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();