Information Services (III) Accumulated Expenses (2010 - 2026)
Information Services' Accumulated Expenses was $14.03 million in Q2 2026, down 30.1% from $20.09 million a year earlier and down 16.9% from the prior quarter.
Powered by 
Analysis
Information Services (III) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Information Services came in at $20.26 million, up 5.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $19.17 million in FY2024 (-24.7%), $25.45 million in FY2023 (+6.5%), $23.91 million in FY2022 (-18.5%) and $29.33 million in FY2021 (-2.5%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q1 2020.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 15.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 36.3%); the worst was Q3 2022 (a decline of 35.4%).
- Per Business Quant data, III's Accumulated Expenses in the three quarters before Q2 2026 was $16.88 million (Q1 2026), $20.26 million (Q4 2025) and $22.27 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.03 Mn |
| Mar 31, 2026 | 16.88 Mn |
| Dec 31, 2025 | 20.26 Mn |
| Sep 30, 2025 | 22.27 Mn |
| Jun 30, 2025 | 20.09 Mn |
| Mar 31, 2025 | 18.82 Mn |
| Dec 31, 2024 | 19.17 Mn |
| Sep 30, 2024 | 22.72 Mn |
| Jun 30, 2024 | 30.40 Mn |
| Mar 31, 2024 | 25.67 Mn |
| Dec 31, 2023 | 25.45 Mn |
| Sep 30, 2023 | 22.48 Mn |
| Jun 30, 2023 | 23.70 Mn |
| Mar 31, 2023 | 23.28 Mn |
| Dec 31, 2022 | 23.91 Mn |
| Sep 30, 2022 | 22.55 Mn |
| Jun 30, 2022 | 25.21 Mn |
| Mar 31, 2022 | 31.85 Mn |
| Dec 31, 2021 | 29.33 Mn |
| Sep 30, 2021 | 34.94 Mn |
API Access
Information Services Accumulated 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=accumulated-expenses&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();