Icon (ICLR) EV to EBITDA (2009 - 2026)
Icon's (ICLR) EV to EBITDA came in at 13.31 for the quarter ended Jun 30, 2026, up 65.9% from 8.02 a year earlier and up 77.8% from the prior quarter.
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Analysis
Icon (ICLR) EV to EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Icon was 11.20, up 66.2% year-over-year; for the year ended Dec 31, 2025, it came in at 9.81, down 2.6% from the prior year.
- In prior years, Icon's EV to EBITDA was 10.07 in the year ended Dec 31, 2024 (-33.8%), 15.21 in the year ended Dec 31, 2023 (+39.4%), 10.91 in the year ended Dec 31, 2022 (-61.3%) and 28.20 in the year ended Dec 31, 2021 (unchanged).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EV to EBITDA since the quarter ended Sep 30, 2024.
- On a year-over-year basis, EV to EBITDA increased in three of the last eight quarters, with an average decline of 9.2%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Jun 30, 2026, with growth of 65.9%; the weakest was the quarter ended Dec 31, 2021, with a decline of 93.9%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 7.49 (quarter ended Mar 31, 2026), 12.15 (quarter ended Dec 31, 2025) and 11.18 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.30 Bn | 36.13 Bn | 1.44 Bn |
| 2 | Medpace Holdings | 17.36 Bn | 15.43 Bn | 201.64 Mn |
| 3 | Charles River Laboratories International | 14.14 Bn | 13.38 Bn | 363.37 Mn |
| 4 | Icon | 13.04 Bn | 10.15 Bn | 479.29 Mn |
| 5 | Fortrea Holdings | 1.88 Bn | 1.26 Bn | 139.20 Mn |
| 6 | Ginkgo Bioworks Holdings | 762.62 Mn | 537,907.95 | 18.44 Mn |
| 7 | Evotec SE | 583.11 Mn | -990.11 Mn | - |
| 8 | Champions Oncology | 68.48 Mn | 44.13 Mn | 7.70 Mn |
| 9 | MindWalk Holdings | 64.46 Mn | 28.68 Mn | 1.61 Mn |
| 10 | Natural Alternatives International | 8.86 Mn | -19.22 Mn | 1.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.31 |
| Mar 31, 2026 | 7.49 |
| Dec 31, 2025 | 12.15 |
| Sep 30, 2025 | 11.18 |
| Jun 30, 2025 | 8.02 |
| Mar 31, 2025 | 9.18 |
| Dec 31, 2024 | 10.24 |
| Sep 30, 2024 | 14.27 |
| Jun 30, 2024 | 15.39 |
| Mar 31, 2024 | 16.98 |
| Dec 31, 2023 | 14.92 |
| Sep 30, 2023 | 13.30 |
| Jun 30, 2023 | 13.78 |
| Mar 31, 2023 | 12.00 |
| Dec 31, 2022 | 10.91 |
| Sep 30, 2022 | 8.84 |
| Jun 30, 2022 | 12.85 |
| Mar 31, 2022 | 17.75 |
| Dec 31, 2021 | 28.20 |
| Sep 30, 2021 | 23.88 |
API Access
Icon EV to 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=ev-to-ebitda&ticker=ICLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "ICLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=ICLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();