Information Services (III) Revenue (2010 - 2026)
Information Services (III) posted Revenue of $65.49 million for Q2 2026, up 6.4% from $61.57 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Information Services (III) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Information Services was $250.25 million, up 4.2% year-over-year; for FY2025, it was $244.73 million, down 1.2% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Information Services' Revenue was $247.59 million in FY2024 (-14.9%), $291.05 million in FY2023 (+1.7%), $286.27 million in FY2022 (+3.0%) and $277.83 million in FY2021 (+11.5%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q4 2023.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with an average decline of 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 15.3%; the weakest was Q1 2024, with a decline of 18.1%.
- According to Business Quant data, Revenue for the three prior quarters was $61.18 million (Q1 2026), $61.21 million (Q4 2025) and $62.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Information Services | 262.64 Mn | 158.87 Mn | 31.97 Mn | 65.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.49 Mn |
| Mar 31, 2026 | 61.18 Mn |
| Dec 31, 2025 | 61.21 Mn |
| Sep 30, 2025 | 62.36 Mn |
| Jun 30, 2025 | 61.57 Mn |
| Mar 31, 2025 | 59.58 Mn |
| Dec 31, 2024 | 57.78 Mn |
| Sep 30, 2024 | 61.28 Mn |
| Jun 30, 2024 | 64.26 Mn |
| Mar 31, 2024 | 64.27 Mn |
| Dec 31, 2023 | 66.19 Mn |
| Sep 30, 2023 | 71.77 Mn |
| Jun 30, 2023 | 74.61 Mn |
| Mar 31, 2023 | 78.49 Mn |
| Dec 31, 2022 | 74.17 Mn |
| Sep 30, 2022 | 68.84 Mn |
| Jun 30, 2022 | 70.70 Mn |
| Mar 31, 2022 | 72.56 Mn |
| Dec 31, 2021 | 69.57 Mn |
| Sep 30, 2021 | 71.10 Mn |
API Access
Information Services Revenue 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=revenue&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();