Boston Scientific (BSX) Operating Margin (2009 - 2026)
Boston Scientific's Operating Margin was 21.65% in Q2 2026, up 5.46 percentage points from 16.18% a year earlier and up 0.49 percentage points from the prior quarter.
Boston Scientific (BSX) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's Operating Margin was 19.78% through Jun 30, 2026, up 2.75 percentage points year-over-year; for FY2025, it was 18.00%, up 2.46 percentage points from FY2024.
- Operating Margin shows a five-year change of +18.81 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 15.54% in FY2024 (-0.91 pp), 16.45% in FY2023 (+3.45 pp), 13.00% in FY2022 (+2.92 pp) and 10.09% in FY2021 (+10.89 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q1 2019.
- Compared with a year earlier, Operating Margin has increased for six straight quarters, with an average year-over-year change of +1.71 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q3 2021 (a gain of 20.91 percentage points); the worst was Q3 2024 (a drop of 2.23 percentage points).
- Per Business Quant data, BSX's Operating Margin in the three quarters before Q2 2026 was 21.16% (Q1 2026), 15.61% (Q4 2025) and 20.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.61 Bn | 239.12 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 190.72 Bn | 164.59 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 164.10 Bn | 143.75 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 160.78 Bn | 141.07 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 131.52 Bn | 96.77 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 125.31 Bn | 111.50 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 63.61 Bn | 59.04 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 60.05 Bn | 43.26 Bn | 1.35 Bn | 17.44% |
| 9 | Becton Dickinson | 59.01 Bn | 56.16 Bn | 2.32 Bn | 13.31% |
| 10 | Agilent Technologies | 50.51 Bn | 43.39 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.12% |
| Jun 30, 2026 | 21.65% |
| Mar 31, 2026 | 21.16% |
| Dec 31, 2025 | 15.61% |
| Sep 30, 2025 | 20.69% |
| Jun 30, 2025 | 16.18% |
| Mar 31, 2025 | 19.75% |
| Dec 31, 2024 | 14.80% |
| Sep 30, 2024 | 17.42% |
| Jun 30, 2024 | 12.62% |
| Mar 31, 2024 | 17.51% |
| Dec 31, 2023 | 15.68% |
| Sep 30, 2023 | 19.65% |
| Jun 30, 2023 | 14.28% |
| Mar 31, 2023 | 16.29% |
| Dec 31, 2022 | 12.40% |
| Sep 30, 2022 | 11.29% |
| Jun 30, 2022 | 13.04% |
| Mar 31, 2022 | 15.40% |
| Dec 31, 2021 | 5.76% |
Boston Scientific Operating Margin 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=operating-margin&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();