Information Services (III) Operating Income (2010 - 2026)
Information Services (III) posted Operating Income of $5.86 million for Q2 2026, up 25.6% from $4.67 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Information Services (III) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Information Services was $20.61 million, up 64.4% year-over-year; for FY2025, it was $17.8 million, up 209.1% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In prior years, Information Services' Operating Income was $5.76 million in FY2024 (-60.6%), $14.61 million in FY2023 (-50.4%), $29.48 million in FY2022 (+16.7%) and $25.27 million in FY2021 (+172.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Income since Q3 2023.
- On a year-over-year basis, Operating Income increased in four of the last five quarters, with growth averaging 15.4%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q3 2021, with growth of 144.2%; the weakest was Q2 2023, with a decline of 32.0%.
- According to Business Quant data, Operating Income for the three prior quarters was $5.02 million (Q1 2026), $5.15 million (Q4 2025) and $4.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 201.36 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 215.59 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 5.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.86 Mn |
| Mar 31, 2026 | 5.02 Mn |
| Dec 31, 2025 | 5.15 Mn |
| Sep 30, 2025 | 4.59 Mn |
| Jun 30, 2025 | 4.67 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 183,000.00 |
| Sep 30, 2024 | 4.29 Mn |
| Jun 30, 2024 | 3.65 Mn |
| Mar 31, 2024 | -2.37 Mn |
| Dec 31, 2023 | -3.52 Mn |
| Sep 30, 2023 | 6.22 Mn |
| Jun 30, 2023 | 4.86 Mn |
| Mar 31, 2023 | 7.05 Mn |
| Dec 31, 2022 | 7.17 Mn |
| Sep 30, 2022 | 7.43 Mn |
| Jun 30, 2022 | 7.15 Mn |
| Mar 31, 2022 | 7.73 Mn |
| Dec 31, 2021 | 7.15 Mn |
| Sep 30, 2021 | 7.26 Mn |
API Access
Information Services Operating Income 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=operating-income&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();