Icon (ICLR) Price to Earnings (2009 - 2026)
Icon's Price to Earnings was 40.44 in the quarter ended Jun 30, 2026, up 190.5% from 13.92 a year earlier and up 119.5% from the prior quarter.
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Analysis
Icon (ICLR) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Icon came in at 60.84, up 165.5% from the prior year.
- In earlier years, Price to Earnings was 22.91 in the year ended Dec 31, 2024 (-45.6%), 42.14 in the year ended Dec 31, 2023 (+34.1%), 31.42 in the year ended Dec 31, 2022 (-76.8%) and 135.68 in the year ended Dec 31, 2021 (+338.1%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Price to Earnings since the quarter ended Mar 31, 2024.
- Compared with a year earlier, Price to Earnings has increased for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Dec 31, 2021 (growth of 338.1%); the worst was the quarter ended Dec 31, 2022 (a decline of 76.8%).
- Per Business Quant data, ICLR's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 18.43 (quarter ended Mar 31, 2026), 27.05 (quarter ended Dec 31, 2025) and 21.77 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Iqvia Holdings | 42.51 Bn | 34.35 Bn | 1.44 Bn |
| 2 | Medpace Holdings | 16.73 Bn | 14.79 Bn | 201.64 Mn |
| 3 | Charles River Laboratories International | 13.84 Bn | 13.08 Bn | 363.37 Mn |
| 4 | Icon | 12.41 Bn | 9.52 Bn | 479.29 Mn |
| 5 | Fortrea Holdings | 1.90 Bn | 1.28 Bn | 139.20 Mn |
| 6 | Ginkgo Bioworks Holdings | 786.20 Mn | 24.11 Mn | 18.44 Mn |
| 7 | Evotec SE | 568.89 Mn | -1.00 Bn | - |
| 8 | Champions Oncology | 68.76 Mn | 44.41 Mn | 7.70 Mn |
| 9 | MindWalk Holdings | 62.59 Mn | 26.81 Mn | 1.61 Mn |
| 10 | Natural Alternatives International | 8.92 Mn | -19.16 Mn | 1.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.44 |
| Mar 31, 2026 | 18.43 |
| Dec 31, 2025 | 27.05 |
| Sep 30, 2025 | 21.77 |
| Jun 30, 2025 | 13.92 |
| Mar 31, 2025 | 17.95 |
| Dec 31, 2024 | 20.81 |
| Sep 30, 2024 | 33.16 |
| Jun 30, 2024 | 38.50 |
| Mar 31, 2024 | 43.80 |
| Dec 31, 2023 | 42.14 |
| Sep 30, 2023 | 41.22 |
| Jun 30, 2023 | 41.35 |
| Mar 31, 2023 | 34.76 |
| Dec 31, 2022 | 31.42 |
| Sep 30, 2022 | 26.56 |
| Jun 30, 2022 | 69.28 |
| Mar 31, 2022 | 97.14 |
| Dec 31, 2021 | 135.68 |
| Sep 30, 2021 | 77.73 |
API Access
Icon Price to Earnings 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=price-to-earnings&ticker=ICLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ICLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();