Information Services (III) Interest Expenses (2010 - 2026)
Information Services (III) reported Interest Expenses of $897,000 for Q2 2026, down 14.2% from $1.05 million a year earlier but up 2.2% from the prior quarter.
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Analysis
Information Services (III) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Information Services' Interest Expenses came in at $3.74 million, down 23.2% year-over-year; for FY2025, it came in at $4.07 million, down 30.3% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Interest Expenses came in at $5.84 million in FY2024 (-5.7%), $6.19 million in FY2023 (+96.1%), $3.16 million in FY2022 (+34.8%) and $2.34 million in FY2021 (-34.3%).
- Five-year quarterly Interest Expenses spans a low of $538,000 in Q3 2021 and a high of $1.74 million in Q1 2023.
- Year over year, Interest Expenses has now declined in each of the last seven quarters, with an average decline of 21.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 208.3%); the low point was Q3 2025 (a decline of 34.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $878,000 (Q1 2026), $913,000 (Q4 2025) and $1.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Information Services | 267.48 Mn | 163.71 Mn | 31.97 Mn | 897,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 897,000.00 |
| Mar 31, 2026 | 878,000.00 |
| Dec 31, 2025 | 913,000.00 |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 1.05 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.74 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 824,000.00 |
| Jun 30, 2022 | 610,000.00 |
| Mar 31, 2022 | 563,000.00 |
| Dec 31, 2021 | 548,000.00 |
| Sep 30, 2021 | 538,000.00 |
API Access
Information Services Interest Expenses 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=interest-expenses&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();