Information Services (III) Total Non-Current Liabilities (2010 - 2026)
Information Services (III) reported Total Non-Current Liabilities of $102.02 million for Q2 2026, up 1.0% from $101.06 million a year earlier but down 0.2% from the prior quarter.
Information Services (III) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Information Services posted Total Non-Current Liabilities of $109.88 million, up 6.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $102.76 million in FY2024 (-22.8%), $133.12 million in FY2023 (+0.2%), $132.86 million in FY2022 (+0.2%) and $132.63 million in FY2021 (+0.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $101.06 million in Q2 2025 and a high of $139.48 million in Q3 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 8.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 11.0%); the low point was Q4 2024 (a decline of 22.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $102.19 million (Q1 2026), $109.88 million (Q4 2025) and $112.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 102.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.02 Mn |
| Mar 31, 2026 | 102.19 Mn |
| Dec 31, 2025 | 109.88 Mn |
| Sep 30, 2025 | 112.43 Mn |
| Jun 30, 2025 | 101.06 Mn |
| Mar 31, 2025 | 101.33 Mn |
| Dec 31, 2024 | 102.76 Mn |
| Sep 30, 2024 | 124.76 Mn |
| Jun 30, 2024 | 128.91 Mn |
| Mar 31, 2024 | 126.24 Mn |
| Dec 31, 2023 | 133.12 Mn |
| Sep 30, 2023 | 126.26 Mn |
| Jun 30, 2023 | 125.34 Mn |
| Mar 31, 2023 | 129.02 Mn |
| Dec 31, 2022 | 132.86 Mn |
| Sep 30, 2022 | 115.28 Mn |
| Jun 30, 2022 | 121.88 Mn |
| Mar 31, 2022 | 131.11 Mn |
| Dec 31, 2021 | 132.63 Mn |
| Sep 30, 2021 | 139.48 Mn |
Information Services Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();