Bruker (BRKR) Non Operating Interest Expenses (2010 - 2026)
Bruker's Non Operating Interest Expenses was $17.8 million in Q2 2026, up 13.4% from $15.7 million a year earlier and up 45.9% from the prior quarter.
Bruker (BRKR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bruker's Non Operating Interest Expenses was $61.5 million through Jun 30, 2026, up 9.8% year-over-year; for FY2025, it was $60.3 million, up 25.9% from FY2024.
- Non Operating Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 33.2% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $47.9 million in FY2024 (+192.1%), $16.4 million in FY2023 (+1.9%), $16.1 million in FY2022 (+12.6%) and $14.3 million in FY2021 (-0.7%).
- Quarterly Non Operating Interest Expenses has moved between -$4 million (Q2 2022) and $20.3 million (Q3 2025) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in five of the last eight quarters, with growth averaging 83.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2024 (growth of 302.6%); the worst was Q4 2025 (a decline of 28.2%).
- Per Business Quant data, BRKR's Non Operating Interest Expenses in the three quarters before Q2 2026 was $12.2 million (Q1 2026), $11.2 million (Q4 2025) and $20.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Bruker | 9.86 Bn | 8.99 Bn | 416.00 Mn | 17.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.80 Mn |
| Mar 31, 2026 | 12.20 Mn |
| Dec 31, 2025 | 11.20 Mn |
| Sep 30, 2025 | 20.30 Mn |
| Jun 30, 2025 | 15.70 Mn |
| Mar 31, 2025 | 13.10 Mn |
| Dec 31, 2024 | 15.60 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | 15.70 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 4.40 Mn |
| Sep 30, 2023 | 3.90 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 4.20 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | -4.00 Mn |
| Mar 31, 2022 | 4.10 Mn |
| Dec 31, 2014 | 4.00 Mn |
| Sep 30, 2014 | 3.20 Mn |
Bruker 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=BRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BRKR", "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=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();