Boston Scientific (BSX) Interest Expenses (2009 - 2026)
Boston Scientific (BSX) recorded Interest Expenses of $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) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Interest Expenses came in at $363 million as of Jun 30, 2026, up 9.7% year-over-year; for FY2025, it was $349 million, up 14.4% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $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 is the highest quarterly Interest Expenses since Q1 2022.
- On a year-over-year basis, Interest Expenses has increased for 13 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 240.2% in Q1 2022, against a decline of 76.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Int Expense (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 | Agilent Technologies | 49.40 Bn | 42.29 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 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=interest-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();