Qiagen (QGEN) Prepaid Assets (2009 - 2026)
Qiagen's Prepaid Assets came in at $161.92 million for the quarter ended Jun 30, 2026, down 13.3% from $186.87 million a year earlier and down 13.8% from the prior quarter.
Qiagen (QGEN) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Qiagen's Prepaid Assets was $191.66 million, up 7.5% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of -0.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $178.33 million in the year ended Dec 31, 2024 (-42.4%), $309.52 million in the year ended Dec 31, 2023 (+5.3%), $293.98 million in the year ended Dec 31, 2022 (+104.8%) and $143.57 million in the year ended Dec 31, 2021 (-27.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Prepaid Assets since the quarter ended Mar 31, 2025.
- Year-over-year, Prepaid Assets increased in three of the last eight quarters, with an average decline of 12.4%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Sep 30, 2021 (growth of 173.9%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 42.8%).
- Business Quant data shows QGEN's Prepaid Assets at $187.74 million (quarter ended Mar 31, 2026), $191.66 million (quarter ended Dec 31, 2025) and $175.18 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) |
|---|---|---|---|---|
| 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 | 161.92 Mn |
| Mar 31, 2026 | 187.74 Mn |
| Dec 31, 2025 | 191.66 Mn |
| Sep 30, 2025 | 175.18 Mn |
| Jun 30, 2025 | 186.87 Mn |
| Mar 31, 2025 | 157.36 Mn |
| Dec 31, 2024 | 178.33 Mn |
| Sep 30, 2024 | 306.43 Mn |
| Jun 30, 2024 | 262.49 Mn |
| Mar 31, 2024 | 251.99 Mn |
| Dec 31, 2023 | 309.52 Mn |
| Sep 30, 2023 | 220.72 Mn |
| Jun 30, 2023 | 274.94 Mn |
| Mar 31, 2023 | 265.91 Mn |
| Dec 31, 2022 | 293.98 Mn |
| Sep 30, 2022 | 234.08 Mn |
| Jun 30, 2022 | 176.73 Mn |
| Mar 31, 2022 | 173.45 Mn |
| Dec 31, 2021 | 143.57 Mn |
| Sep 30, 2021 | 375.87 Mn |
Qiagen Prepaid Assets 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=prepaid-assets&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();