Qiagen (QGEN) Change in Accured Expenses (2009 - 2026)
Qiagen's Change in Accured Expenses was $28.15 million in the quarter ended Jun 30, 2026, up 71.3% from $16.43 million a year earlier.
Qiagen (QGEN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Qiagen's Change in Accured Expenses was -$29.68 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$42.82 million.
- In earlier years, Change in Accured Expenses was -$8.64 million in the year ended Dec 31, 2024, -$55.58 million in the year ended Dec 31, 2023, -$17.84 million in the year ended Dec 31, 2022 and -$71.68 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Change in Accured Expenses since the quarter ended Jun 30, 2024.
- Per Business Quant data, QGEN's Change in Accured Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$13.8 million (quarter ended Mar 31, 2026), -$12.08 million (quarter ended Dec 31, 2025) and -$31.95 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Qiagen | 9.71 Bn | 5.48 Bn | 340.39 Mn | 28.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.15 Mn |
| Mar 31, 2026 | -13.80 Mn |
| Dec 31, 2025 | -12.08 Mn |
| Sep 30, 2025 | -31.95 Mn |
| Jun 30, 2025 | 16.43 Mn |
| Mar 31, 2025 | -15.23 Mn |
| Dec 31, 2024 | -10.22 Mn |
| Sep 30, 2024 | -29.12 Mn |
| Jun 30, 2024 | 50.35 Mn |
| Mar 31, 2024 | -19.65 Mn |
| Dec 31, 2023 | 22.16 Mn |
| Sep 30, 2023 | -7.37 Mn |
| Jun 30, 2023 | -11.50 Mn |
| Mar 31, 2023 | -58.87 Mn |
| Dec 31, 2022 | -3.40 Mn |
| Sep 30, 2022 | 7.27 Mn |
| Jun 30, 2022 | -14.62 Mn |
| Mar 31, 2022 | -7.10 Mn |
| Dec 31, 2021 | -19.30 Mn |
| Sep 30, 2021 | 12.05 Mn |
Qiagen Change in Accured Expenses 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=change-in-accured-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();