Qiagen (QGEN) Receivables (2009 - 2026)
Qiagen (QGEN) posted Receivables of $389.85 million for 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 (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Qiagen's Receivables came in at $412.81 million, up 13.5% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 1.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Qiagen's Receivables was $363.8 million in the year ended Dec 31, 2024 (-8.3%), $396.92 million in the year ended Dec 31, 2023 (+19.0%), $333.55 million in the year ended Dec 31, 2022 (-11.3%) and $376.23 million in the year ended Dec 31, 2021 (-3.3%).
- Quarterly Receivables has run from a low of $14.94 million in the quarter ended Dec 31, 2022 to a high of $412.81 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Receivables increased in five of the last seven quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Dec 31, 2023, with growth of 20.0%; the weakest was the quarter ended Dec 31, 2022, with a decline of 96.0%.
- According to Business Quant data, Receivables for the three prior quarters was $396.62 million (quarter ended Mar 31, 2026), $412.81 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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 389.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.85 Mn |
| Mar 31, 2026 | 396.62 Mn |
| Dec 31, 2025 | 412.81 Mn |
| Sep 30, 2025 | 375.56 Mn |
| Jun 30, 2025 | 385.76 Mn |
| Mar 31, 2025 | 340.71 Mn |
| Dec 31, 2024 | 16.37 Mn |
| Sep 30, 2024 | 345.58 Mn |
| Jun 30, 2024 | 355.30 Mn |
| Mar 31, 2024 | 343.89 Mn |
| Dec 31, 2023 | 17.93 Mn |
| Sep 30, 2023 | 326.69 Mn |
| Jun 30, 2023 | 312.60 Mn |
| Mar 31, 2023 | 317.24 Mn |
| Dec 31, 2022 | 14.94 Mn |
| Sep 30, 2022 | 310.98 Mn |
| Jun 30, 2022 | 334.57 Mn |
| Mar 31, 2022 | 372.38 Mn |
| Dec 31, 2021 | 376.23 Mn |
| Sep 30, 2021 | 359.52 Mn |
Qiagen Receivables 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&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();