Qiagen (QGEN) Accumulated Expenses (2009 - 2026)
Qiagen (QGEN) recorded Accumulated Expenses of $485.85 million in the quarter ended Jun 30, 2026, down 0.2% from $486.79 million a year earlier but up 21.2% from the prior quarter.
Qiagen (QGEN) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Qiagen reported Accumulated Expenses of $439.48 million, up 8.0% from the prior year.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 1.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $406.88 million in the year ended Dec 31, 2024 (-0.1%), $407.17 million in the year ended Dec 31, 2023 (-16.3%), $486.24 million in the year ended Dec 31, 2022 (-14.5%) and $568.62 million in the year ended Dec 31, 2021 (+38.2%).
- Quarterly Accumulated Expenses has ranged from $346.88 million in the quarter ended Sep 30, 2023 to $604.13 million in the quarter ended Sep 30, 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 83.5% in the quarter ended Sep 30, 2021, against a decline of 36.8% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $400.81 million (quarter ended Mar 31, 2026), $439.48 million (quarter ended Dec 31, 2025) and $399.03 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 | 485.85 Mn |
| Mar 31, 2026 | 400.81 Mn |
| Dec 31, 2025 | 439.48 Mn |
| Sep 30, 2025 | 399.03 Mn |
| Jun 30, 2025 | 486.79 Mn |
| Mar 31, 2025 | 391.59 Mn |
| Dec 31, 2024 | 406.88 Mn |
| Sep 30, 2024 | 494.29 Mn |
| Jun 30, 2024 | 466.15 Mn |
| Mar 31, 2024 | 359.31 Mn |
| Dec 31, 2023 | 407.17 Mn |
| Sep 30, 2023 | 346.88 Mn |
| Jun 30, 2023 | 394.36 Mn |
| Mar 31, 2023 | 412.62 Mn |
| Dec 31, 2022 | 486.24 Mn |
| Sep 30, 2022 | 548.66 Mn |
| Jun 30, 2022 | 417.44 Mn |
| Mar 31, 2022 | 401.48 Mn |
| Dec 31, 2021 | 568.62 Mn |
| Sep 30, 2021 | 604.13 Mn |
Qiagen Accumulated 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=accumulated-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();