Qiagen (QGEN) EV to EBITDA (2009 - 2026)
Qiagen's (QGEN) EV to EBITDA was 11.81 for the quarter ended Jun 30, 2026, down 19.1% from 14.59 a year earlier and down 6.1% from the prior quarter.
Qiagen (QGEN) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qiagen's EV to EBITDA came in at 6.53, down 29.0% year-over-year; for the year ended Dec 31, 2025, it was 13.06, down 28.2% from the prior year.
- By year, EV to EBITDA came in at 18.19 in the year ended Dec 31, 2024 (+28.1%), 14.21 in the year ended Dec 31, 2023 (+10.5%), 12.86 in the year ended Dec 31, 2022 (-2.5%) and 13.19 in the year ended Dec 31, 2021 (-26.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly EV to EBITDA since the quarter ended Sep 30, 2022.
- Year over year, EV to EBITDA has now declined in each of the last five quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Sep 30, 2024 (growth of 119.9%); the low point was the quarter ended Sep 30, 2025 (a decline of 56.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 12.57 (quarter ended Mar 31, 2026), 13.06 (quarter ended Dec 31, 2025) and 12.11 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.81 |
| Mar 31, 2026 | 12.57 |
| Dec 31, 2025 | 13.06 |
| Sep 30, 2025 | 12.11 |
| Jun 30, 2025 | 14.59 |
| Mar 31, 2025 | 24.51 |
| Dec 31, 2024 | 27.38 |
| Sep 30, 2024 | 27.97 |
| Jun 30, 2024 | 27.61 |
| Mar 31, 2024 | 13.88 |
| Dec 31, 2023 | 14.21 |
| Sep 30, 2023 | 12.72 |
| Jun 30, 2023 | 13.81 |
| Mar 31, 2023 | 13.86 |
| Dec 31, 2022 | 12.86 |
| Sep 30, 2022 | 8.94 |
| Jun 30, 2022 | 10.76 |
| Mar 31, 2022 | 10.79 |
| Dec 31, 2021 | 13.19 |
| Sep 30, 2021 | 12.47 |
Qiagen 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=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "QGEN", "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=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();