Information Services (III) Accumulated Expenses (2009 - 2026)
Information Services' Accumulated Expenses was $15.06 million in Q3 2026, down 32.4% from $22.27 million a year earlier but up 7.3% from the prior quarter.
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Analysis
Information Services (III) Accumulated Expenses (2009 - 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%).
- Quarterly Accumulated Expenses has moved between $14.03 million (Q2 2026) and $31.85 million (Q1 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with an average decline of 19.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2024 (growth of 28.3%); the worst was Q3 2022 (a decline of 35.4%).
- Per Business Quant data, III's Accumulated Expenses in the three quarters before Q3 2026 was $14.03 million (Q2 2026), $16.88 million (Q1 2026) and $20.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Information Services | 292.82 Mn | 189.24 Mn | 28.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.06 Mn |
| 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 |
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();