Qiagen (QGEN) Inventory (2009 - 2026)
Qiagen's Inventory was $311.36 million in the quarter ended Jun 30, 2026, up 6.4% from $292.55 million a year earlier and up 0.6% from the prior quarter.
Qiagen (QGEN) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at Qiagen came in at $301.89 million, up 8.1% from the prior year.
- Inventory shows a five-year compound annual growth rate of 0.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Inventory was $279.26 million in the year ended Dec 31, 2024 (-29.9%), $398.39 million in the year ended Dec 31, 2023 (+11.3%), $357.96 million in the year ended Dec 31, 2022 (+9.3%) and $327.53 million in the year ended Dec 31, 2021 (+12.5%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Inventory since the quarter ended Sep 30, 2024.
- Compared with a year earlier, Inventory has increased for three straight quarters, with an average decline of 9.2% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was the quarter ended Sep 30, 2021 (growth of 31.8%); the worst was the quarter ended Mar 31, 2025 (a decline of 30.0%).
- Per Business Quant data, QGEN's Inventory in the three quarters before the quarter ended Jun 30, 2026 was $309.61 million (quarter ended Mar 31, 2026), $301.89 million (quarter ended Dec 31, 2025) and $290.23 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | 311.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311.36 Mn |
| Mar 31, 2026 | 309.61 Mn |
| Dec 31, 2025 | 301.89 Mn |
| Sep 30, 2025 | 290.23 Mn |
| Jun 30, 2025 | 292.55 Mn |
| Mar 31, 2025 | 281.36 Mn |
| Dec 31, 2024 | 279.26 Mn |
| Sep 30, 2024 | 321.70 Mn |
| Jun 30, 2024 | 321.75 Mn |
| Mar 31, 2024 | 401.75 Mn |
| Dec 31, 2023 | 398.39 Mn |
| Sep 30, 2023 | 399.21 Mn |
| Jun 30, 2023 | 391.99 Mn |
| Mar 31, 2023 | 380.82 Mn |
| Dec 31, 2022 | 357.96 Mn |
| Sep 30, 2022 | 323.47 Mn |
| Jun 30, 2022 | 322.83 Mn |
| Mar 31, 2022 | 321.62 Mn |
| Dec 31, 2021 | 327.53 Mn |
| Sep 30, 2021 | 335.69 Mn |
Qiagen Inventory 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=inventory&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();