Information Services (III) EBITDA (2010 - 2026)
Information Services (III) reported EBITDA of $6.92 million for Q2 2026, up 18.6% from $5.83 million a year earlier and up 14.1% from the prior quarter.
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Analysis
Information Services (III) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Information Services' EBITDA came in at $25.04 million, up 42.4% year-over-year; for FY2025, it came in at $22.4 million, up 92.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, EBITDA came in at $11.66 million in FY2024 (-44.2%), $20.91 million in FY2023 (-40.0%), $34.85 million in FY2022 (+13.8%) and $30.61 million in FY2021 (+97.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q3 2023.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 66.9% over the last six quarters.
- The high point for year-over-year EBITDA in five years was Q4 2025 (growth of 364.0%); the low point was Q3 2024 (a decline of 24.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.06 million (Q1 2026), $6.33 million (Q4 2025) and $5.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Information Services | 259.74 Mn | 155.97 Mn | 31.97 Mn | 6.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Mn |
| Mar 31, 2026 | 6.06 Mn |
| Dec 31, 2025 | 6.33 Mn |
| Sep 30, 2025 | 5.73 Mn |
| Jun 30, 2025 | 5.83 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 5.89 Mn |
| Jun 30, 2024 | 5.27 Mn |
| Mar 31, 2024 | -865,000.00 |
| Dec 31, 2023 | -1.92 Mn |
| Sep 30, 2023 | 7.75 Mn |
| Jun 30, 2023 | 6.43 Mn |
| Mar 31, 2023 | 8.65 Mn |
| Dec 31, 2022 | 8.67 Mn |
| Sep 30, 2022 | 8.72 Mn |
| Jun 30, 2022 | 8.45 Mn |
| Mar 31, 2022 | 9.02 Mn |
| Dec 31, 2021 | 8.53 Mn |
| Sep 30, 2021 | 8.61 Mn |
API Access
Information Services EBITDA 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=ebitda&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();