Information Services (III) Short-Term Debt repayments (2023 - 2026)
Information Services (III) reported Short-Term Debt repayments of $20 million for Q1 2026, up 300.0% from $5 million a year earlier and up 99.4% from the prior quarter.
Information Services (III) Short-Term Debt repayments (2023 - 2026) Analysis & Trends
For FY2025, Information Services posted Short-Term Debt repayments of $15.03 million, down 68.7% from FY2024.
- By year, Short-Term Debt repayments came in at $48 million in FY2024 (-43.0%) and $84.18 million in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Short-Term Debt repayments since Q4 2024.
- Year over year, Short-Term Debt repayments gained in two of the last four quarters, with growth averaging 100.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | - |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | - |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Information Services | 290.03 Mn | 186.26 Mn | 31.97 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20.00 Mn |
| Dec 31, 2025 | 10.03 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 25.00 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 79.18 Mn |
Information Services Short-Term Debt repayments 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=short-term-debt-repayments&ticker=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();