Boston Scientific (BSX) Non Operating Interest Expenses (2009 - 2026)
Boston Scientific's Non Operating Interest Expenses was $96 million in Q2 2026, up 6.7% from $90 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Boston Scientific (BSX) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's Non Operating Interest Expenses was $363 million through Jun 30, 2026, up 9.7% year-over-year; for FY2025, it was $349 million, up 14.4% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $305 million in FY2024 (+15.1%), $265 million in FY2023 (-43.6%), $470 million in FY2022 (+37.8%) and $341 million in FY2021 (-5.5%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q1 2022.
- Compared with a year earlier, Non Operating Interest Expenses has increased for 13 straight quarters, with growth averaging 14.7% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2022 (growth of 240.2%); the worst was Q1 2023 (a decline of 76.7%).
- Per Business Quant data, BSX's Non Operating Interest Expenses in the three quarters before Q2 2026 was $90 million (Q1 2026), $90 million (Q4 2025) and $87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.00 Mn |
| Mar 31, 2026 | 90.00 Mn |
| Dec 31, 2025 | 90.00 Mn |
| Sep 30, 2025 | 87.00 Mn |
| Jun 30, 2025 | 90.00 Mn |
| Mar 31, 2025 | 82.00 Mn |
| Dec 31, 2024 | 80.00 Mn |
| Sep 30, 2024 | 79.00 Mn |
| Jun 30, 2024 | 77.00 Mn |
| Mar 31, 2024 | 69.00 Mn |
| Dec 31, 2023 | 65.00 Mn |
| Sep 30, 2023 | 66.00 Mn |
| Jun 30, 2023 | 70.00 Mn |
| Mar 31, 2023 | 65.00 Mn |
| Dec 31, 2022 | 64.00 Mn |
| Sep 30, 2022 | 63.00 Mn |
| Jun 30, 2022 | 64.00 Mn |
| Mar 31, 2022 | 279.00 Mn |
| Dec 31, 2021 | 87.00 Mn |
| Sep 30, 2021 | 86.00 Mn |
API Access
Boston Scientific 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=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BSX", "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=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();