Information Services (III) Other Operating Expenses (2024 - 2026)
Information Services (III) recorded Other Operating Expenses of $2.65 million in Q2 2026, up 2.9% from $2.58 million a year earlier but down 1.6% from the prior quarter.
Information Services (III) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Information Services' Other Operating Expenses came in at $10.53 million as of Jun 30, 2026, up 13.8% year-over-year; for FY2025, it was $10.14 million, up 13.7% from FY2024.
- Across earlier years, Other Operating Expenses came in at $8.92 million in FY2024 (-6.5%) and $9.53 million in FY2023.
- Quarterly Other Operating Expenses has ranged from $1.8 million in Q2 2024 to $2.87 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 14.1% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $2.69 million (Q1 2026), $2.87 million (Q4 2025) and $2.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Information Services | 267.48 Mn | 163.71 Mn | 31.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 2.69 Mn |
| Dec 31, 2025 | 2.87 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 2.58 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 2.33 Mn |
| Sep 30, 2024 | 1.97 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 2.82 Mn |
Information Services Other Operating 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=other-operating-expenses&ticker=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();