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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 23.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 13.20% |
API Access
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_KEYimport 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();