Qiagen (QGEN) EPS (Diluted) (2009 - 2026)
Qiagen's EPS (Diluted) was $0.47 in the quarter ended Jun 30, 2026, up 10.3% from $0.43 a year earlier and up 52.0% from the prior quarter.
Qiagen (QGEN) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Qiagen's EPS (Diluted) was $1.87 through Jun 30, 2026, up 12.5% year-over-year; for the year ended Dec 31, 2025, it was $1.94.
- EPS (Diluted) shows a five-year compound annual growth rate of 4.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, EPS (Diluted) was -$0.46 in the year ended Dec 31, 2024, $1.48 in the year ended Dec 31, 2023 (-21.9%), $1.90 in the year ended Dec 31, 2022 (+38.5%) and $1.37 in the year ended Dec 31, 2021 (-13.4%).
- Quarterly EPS (Diluted) has moved between $0.31 (the quarter ended Mar 31, 2026) and $0.69 (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in five of the last eight quarters, with growth averaging 7.4%.
- The best year-over-year quarter for EPS (Diluted) over five years was the quarter ended Sep 30, 2021 (growth of 662.3%); the worst was the quarter ended Mar 31, 2023 (a decline of 44.8%).
- Per Business Quant data, QGEN's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was $0.31 (quarter ended Mar 31, 2026), $0.49 (quarter ended Dec 31, 2025) and $0.58 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 0.42 |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 0.47 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.47 |
| Mar 31, 2026 | 0.31 |
| Dec 31, 2025 | 0.49 |
| Sep 30, 2025 | 0.58 |
| Jun 30, 2025 | 0.43 |
| Mar 31, 2025 | 0.40 |
| Dec 31, 2024 | 0.39 |
| Sep 30, 2024 | 0.43 |
| Jun 30, 2024 | 0.53 |
| Mar 31, 2024 | 0.35 |
| Dec 31, 2023 | 0.42 |
| Sep 30, 2023 | 0.35 |
| Jun 30, 2023 | 0.36 |
| Mar 31, 2023 | 0.38 |
| Dec 31, 2022 | 0.40 |
| Sep 30, 2022 | 0.37 |
| Jun 30, 2022 | 0.43 |
| Mar 31, 2022 | 0.69 |
| Dec 31, 2021 | 0.57 |
| Sep 30, 2021 | 0.59 |
Qiagen EPS (Diluted) 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=eps-diluted&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();