Information Services (III) Enterprise Value (2010 - 2026)
Information Services (III) recorded Enterprise Value of $235.61 million in Q3 2026, down 4.6% from $246.97 million a year earlier but up 34.5% from the prior quarter.
Powered by 
Analysis
Information Services (III) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Information Services' Enterprise Value came in at $160.58 million as of Sep 30, 2026, down 10.1% year-over-year; for FY2025, it came in at $247.47 million, up 78.0% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $139.06 million in FY2024 (-32.7%), $206.52 million in FY2023 (+7.8%), $191.59 million in FY2022 (-41.0%) and $324.76 million in FY2021 (+184.1%).
- Quarterly Enterprise Value has ranged from $131.97 million in Q2 2024 to $324.76 million in Q4 2021 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for three consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 184.1% in Q4 2021, against a decline of 45.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $175.11 million (Q2 2026), $160.74 million (Q1 2026) and $247.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn |
| 10 | Information Services | 290.11 Mn | 186.53 Mn | 28.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 235.61 Mn |
| Jun 30, 2026 | 175.11 Mn |
| Mar 31, 2026 | 160.74 Mn |
| Dec 31, 2025 | 247.47 Mn |
| Sep 30, 2025 | 246.97 Mn |
| Jun 30, 2025 | 206.73 Mn |
| Mar 31, 2025 | 168.00 Mn |
| Dec 31, 2024 | 139.06 Mn |
| Sep 30, 2024 | 152.07 Mn |
| Jun 30, 2024 | 131.97 Mn |
| Mar 31, 2024 | 181.21 Mn |
| Dec 31, 2023 | 206.52 Mn |
| Sep 30, 2023 | 195.13 Mn |
| Jun 30, 2023 | 240.34 Mn |
| Mar 31, 2023 | 222.52 Mn |
| Dec 31, 2022 | 191.59 Mn |
| Sep 30, 2022 | 208.42 Mn |
| Jun 30, 2022 | 291.36 Mn |
| Mar 31, 2022 | 284.78 Mn |
| Dec 31, 2021 | 324.76 Mn |
API Access
Information Services Enterprise Value 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=enterprise-value&ticker=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();