Information Services (III) Non Operating Interest Expenses (2010 - 2026)
Information Services' Non Operating Interest Expenses was $897,000 in 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) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Information Services' Non Operating Interest Expenses was $3.74 million through Jun 30, 2026, down 23.2% year-over-year; for FY2025, it was $4.07 million, down 30.3% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $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%).
- Quarterly Non Operating Interest Expenses has moved between $538,000 (Q3 2021) and $1.74 million (Q1 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for seven straight quarters, with an average decline of 21.1% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 208.3%); the worst was Q3 2025 (a decline of 34.5%).
- Per Business Quant data, III's Non Operating Interest Expenses in the three quarters before Q2 2026 was $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | - |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | 10.67 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 22.27 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | Information Services | 297.00 Mn | 193.23 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 Non Operating 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=non-operating-interest-expenses&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();