Qiagen (QGEN) Intangibles (2009 - 2026)
Qiagen's Intangibles came in at $352.35 million for the quarter ended Jun 30, 2026, up 12.1% from $314.24 million a year earlier but down 4.1% from the prior quarter.
Qiagen (QGEN) Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Qiagen's Intangibles was $386.43 million, up 27.2% from the prior year.
- Intangibles carries a five-year compound annual growth rate of -11.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Intangibles was $303.82 million in the year ended Dec 31, 2024 (-42.3%), $526.82 million in the year ended Dec 31, 2023 (-3.3%), $544.8 million in the year ended Dec 31, 2022 (-13.2%) and $627.44 million in the year ended Dec 31, 2021 (-13.6%).
- The five-year range for quarterly Intangibles is $290.5 million (the quarter ended Mar 31, 2025) to $638.79 million (the quarter ended Sep 30, 2021).
- Year-over-year, Intangibles has increased for three consecutive quarters, with an average decline of 9.6% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in the quarter ended Dec 31, 2025 (growth of 27.2%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 42.3%).
- Business Quant data shows QGEN's Intangibles at $367.49 million (quarter ended Mar 31, 2026), $386.43 million (quarter ended Dec 31, 2025) and $297.18 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 352.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.35 Mn |
| Mar 31, 2026 | 367.49 Mn |
| Dec 31, 2025 | 386.43 Mn |
| Sep 30, 2025 | 297.18 Mn |
| Jun 30, 2025 | 314.24 Mn |
| Mar 31, 2025 | 290.50 Mn |
| Dec 31, 2024 | 303.82 Mn |
| Sep 30, 2024 | 330.83 Mn |
| Jun 30, 2024 | 345.46 Mn |
| Mar 31, 2024 | 502.01 Mn |
| Dec 31, 2023 | 526.82 Mn |
| Sep 30, 2023 | 542.60 Mn |
| Jun 30, 2023 | 570.19 Mn |
| Mar 31, 2023 | 585.02 Mn |
| Dec 31, 2022 | 544.80 Mn |
| Sep 30, 2022 | 551.59 Mn |
| Jun 30, 2022 | 594.44 Mn |
| Mar 31, 2022 | 607.74 Mn |
| Dec 31, 2021 | 627.44 Mn |
| Sep 30, 2021 | 638.79 Mn |
Qiagen Intangibles 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=intangibles&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();