Qiagen (QGEN) Cash from Operations (2009 - 2026)
Qiagen's Cash from Operations came in at $200.69 million for Q2 2026, up 24.7% from $161 million a year earlier and up 99.4% from the prior quarter.
Qiagen (QGEN) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Qiagen reported Cash from Operations of $654.47 million, down 3.0% year-over-year; for FY2025, it was $654.33 million, down 2.9% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $673.55 million in FY2024 (+46.6%), $459.46 million in FY2023 (-35.8%), $715.26 million in FY2022 (+11.9%) and $639 million in FY2021 (+39.6%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations since Q3 2022.
- Year-over-year, Cash from Operations increased in four of the last eight quarters, with growth averaging 7.4%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2021 (growth of 314.7%), and the weakest in Q1 2023 (a decline of 65.3%).
- Business Quant data shows QGEN's Cash from Operations at $100.63 million (Q1 2026), $188.13 million (Q4 2025) and $165.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 2.55 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 1.89 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.22 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 1.46 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.05 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 570.30 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Qiagen | 10.94 Bn | 6.71 Bn | 340.39 Mn | 200.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.69 Mn |
| Mar 31, 2026 | 100.63 Mn |
| Dec 31, 2025 | 188.13 Mn |
| Sep 30, 2025 | 165.02 Mn |
| Jun 30, 2025 | 161.00 Mn |
| Mar 31, 2025 | 139.74 Mn |
| Dec 31, 2024 | 191.51 Mn |
| Sep 30, 2024 | 182.34 Mn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 133.10 Mn |
| Dec 31, 2023 | 151.37 Mn |
| Sep 30, 2023 | 124.68 Mn |
| Jun 30, 2023 | 111.48 Mn |
| Mar 31, 2023 | 71.93 Mn |
| Dec 31, 2022 | 124.32 Mn |
| Sep 30, 2022 | 211.58 Mn |
| Jun 30, 2022 | 171.95 Mn |
| Mar 31, 2022 | 207.41 Mn |
| Dec 31, 2021 | 198.46 Mn |
| Sep 30, 2021 | 155.52 Mn |
Qiagen Cash from Operations 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=cash-from-operations&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();