Qiagen (QGEN) Receivables - Net (2009 - 2026)
Qiagen (QGEN) recorded Receivables - Net of $389.85 million in the quarter ended Jun 30, 2026, up 1.1% from $385.76 million a year earlier but down 1.7% from the prior quarter.
Qiagen (QGEN) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Qiagen reported Receivables - Net of $402.61 million, up 15.3% from the prior year.
- Annual Receivables - Net has a five-year compound annual growth rate of 1.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables - Net came in at $349.28 million in the year ended Dec 31, 2024 (-8.5%), $381.88 million in the year ended Dec 31, 2023 (+18.0%), $323.75 million in the year ended Dec 31, 2022 (-10.6%) and $362.13 million in the year ended Dec 31, 2021 (-4.8%).
- Quarterly Receivables - Net has ranged from $1.85 million in the quarter ended Dec 31, 2024 to $402.61 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Receivables - Net rose in five of the last seven quarters, with growth averaging 0.5%.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 16.4% in the quarter ended Mar 31, 2026, against a decline of 98.6% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $396.62 million (quarter ended Mar 31, 2026), $402.61 million (quarter ended Dec 31, 2025) and $375.56 million (quarter ended Sep 30, 2025).
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 | 389.85 Mn |
| Mar 31, 2026 | 396.62 Mn |
| Dec 31, 2025 | 402.61 Mn |
| Sep 30, 2025 | 375.56 Mn |
| Jun 30, 2025 | 385.76 Mn |
| Mar 31, 2025 | 340.71 Mn |
| Dec 31, 2024 | 1.85 Mn |
| Sep 30, 2024 | 345.58 Mn |
| Jun 30, 2024 | 355.30 Mn |
| Mar 31, 2024 | 343.89 Mn |
| Dec 31, 2023 | 2.89 Mn |
| Sep 30, 2023 | 326.69 Mn |
| Jun 30, 2023 | 312.60 Mn |
| Mar 31, 2023 | 317.24 Mn |
| Dec 31, 2022 | 5.14 Mn |
| Sep 30, 2022 | 310.98 Mn |
| Jun 30, 2022 | 334.57 Mn |
| Mar 31, 2022 | 372.38 Mn |
| Dec 31, 2021 | 362.13 Mn |
| Sep 30, 2021 | 359.52 Mn |
Qiagen Receivables - Net 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=receivables-net&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();