Qiagen (QGEN) EBT (2009 - 2026)
Qiagen (QGEN) reported EBT of $132.11 million for the quarter ended Jun 30, 2026, up 4.2% from $126.82 million a year earlier and up 53.9% from the prior quarter.
Qiagen (QGEN) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qiagen's EBT came in at $461.83 million, down 5.5% year-over-year; for the year ended Dec 31, 2025, it was $490.27 million, up 304.7% from the prior year.
- EBT has a five-year compound annual growth rate of 2.2% (years ended Dec 2020 to Dec 2025).
- By year, EBT came in at $121.15 million in the year ended Dec 31, 2024 (-71.8%), $429.81 million in the year ended Dec 31, 2023 (-16.2%), $512.6 million in the year ended Dec 31, 2022 (-18.1%) and $625.83 million in the year ended Dec 31, 2021 (+42.4%).
- Five-year quarterly EBT spans a low of -$223.45 million in the quarter ended Jun 30, 2024 and a high of $195.52 million in the quarter ended Mar 31, 2022.
- Year over year, EBT gained in five of the last seven quarters, with growth averaging 2.5%.
- The high point for year-over-year EBT in five years was the quarter ended Sep 30, 2021 (growth of 442.8%); the low point was the quarter ended Mar 31, 2023 (a decline of 44.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $85.83 million (quarter ended Mar 31, 2026), $109.17 million (quarter ended Dec 31, 2025) and $134.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 554.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 519.80 Mn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 132.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.11 Mn |
| Mar 31, 2026 | 85.83 Mn |
| Dec 31, 2025 | 109.17 Mn |
| Sep 30, 2025 | 134.73 Mn |
| Jun 30, 2025 | 126.82 Mn |
| Mar 31, 2025 | 119.55 Mn |
| Dec 31, 2024 | 125.85 Mn |
| Sep 30, 2024 | 116.46 Mn |
| Jun 30, 2024 | -223.45 Mn |
| Mar 31, 2024 | 102.29 Mn |
| Dec 31, 2023 | 118.88 Mn |
| Sep 30, 2023 | 99.83 Mn |
| Jun 30, 2023 | 102.32 Mn |
| Mar 31, 2023 | 108.79 Mn |
| Dec 31, 2022 | 105.84 Mn |
| Sep 30, 2022 | 95.72 Mn |
| Jun 30, 2022 | 115.52 Mn |
| Mar 31, 2022 | 195.52 Mn |
| Dec 31, 2021 | 165.38 Mn |
| Sep 30, 2021 | 151.46 Mn |
Qiagen EBT 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=ebt&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();