Boston Scientific (BSX) Other Operating Expenses (2009 - 2026)
Boston Scientific (BSX) recorded Other Operating Expenses of $859 million in Q2 2026, up 6.6% from $806 million a year earlier and up 17.8% from the prior quarter.
Boston Scientific (BSX) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Other Operating Expenses came in at $3.28 billion as of Jun 30, 2026, up 18.0% year-over-year; for FY2025, it was $3.13 billion, up 25.1% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $2.5 billion in FY2024 (+11.9%), $2.24 billion in FY2023 (-6.9%), $2.4 billion in FY2022 (+8.7%) and $2.21 billion in FY2021 (+2.5%).
- Quarterly Other Operating Expenses has ranged from $442 million in Q3 2021 to $953 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for four consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 37.3% in Q4 2025, against a decline of 44.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $729 million (Q1 2026), $953 million (Q4 2025) and $734 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.02 Bn | 238.53 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.67 Bn | 164.53 Bn | 7.39 Bn |
| 3 | Danaher | 163.88 Bn | 143.53 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 160.79 Bn | 141.08 Bn | 2.08 Bn |
| 5 | Medtronic | 131.42 Bn | 96.67 Bn | 6.34 Bn |
| 6 | Stryker | 125.24 Bn | 111.42 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.54 Bn | 58.97 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.92 Bn | 43.12 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.88 Bn | 56.03 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 50.44 Bn | 43.33 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.00 Mn |
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | -18.00 Mn |
| Dec 31, 2025 | 207.00 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 8.00 Mn |
| Sep 30, 2024 | -18.00 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 27.00 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | -88.00 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 23.00 Mn |
| Dec 31, 2022 | 111.00 Mn |
| Sep 30, 2022 | 31.00 Mn |
| Jun 30, 2022 | 89.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 120.00 Mn |
Boston Scientific Other Operating 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=other-operating-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();