Qiagen (QGEN) Non Operating Interest Expenses (2009 - 2026)
Qiagen (QGEN) reported Non Operating Interest Expenses of -$10.02 million for the quarter ended Jun 30, 2026, compared with -$7.61 million a year earlier.
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Analysis
Qiagen (QGEN) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qiagen's Non Operating Interest Expenses came in at -$39.43 million; for the year ended Dec 31, 2025, it came in at -$33.26 million.
- By year, Non Operating Interest Expenses came in at -$43.84 million in the year ended Dec 31, 2024, -$53.41 million in the year ended Dec 31, 2023, -$58.36 million in the year ended Dec 31, 2022 and -$54.48 million in the year ended Dec 31, 2021.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$16.29 million in the quarter ended Sep 30, 2022 and a high of -$7.29 million in the quarter ended Mar 31, 2025.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$11.05 million (quarter ended Mar 31, 2026), -$10.14 million (quarter ended Dec 31, 2025) and -$8.22 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | Qiagen | 9.76 Bn | 5.53 Bn | 340.39 Mn | -10.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.02 Mn |
| Mar 31, 2026 | -11.05 Mn |
| Dec 31, 2025 | -10.14 Mn |
| Sep 30, 2025 | -8.22 Mn |
| Jun 30, 2025 | -7.61 Mn |
| Mar 31, 2025 | -7.29 Mn |
| Dec 31, 2024 | -11.14 Mn |
| Sep 30, 2024 | -11.48 Mn |
| Jun 30, 2024 | -10.92 Mn |
| Mar 31, 2024 | -10.29 Mn |
| Dec 31, 2023 | -12.44 Mn |
| Sep 30, 2023 | -13.02 Mn |
| Jun 30, 2023 | -13.50 Mn |
| Mar 31, 2023 | -14.45 Mn |
| Dec 31, 2022 | -14.88 Mn |
| Sep 30, 2022 | -16.29 Mn |
| Jun 30, 2022 | -13.66 Mn |
| Mar 31, 2022 | -13.54 Mn |
| Dec 31, 2021 | -12.46 Mn |
| Sep 30, 2021 | -14.58 Mn |
API Access
Qiagen Non Operating Interest 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=non-operating-interest-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();