Boston Scientific (BSX) Revenue (2009 - 2026)
Boston Scientific (BSX) reported Revenue of $5.44 billion for Q2 2026, up 7.5% from $5.06 billion a year earlier and up 4.6% from the prior quarter.
Boston Scientific (BSX) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boston Scientific's Revenue came in at $21 billion, up 13.5% year-over-year; for FY2025, it came in at $20.07 billion, up 19.9% from FY2024.
- Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- By year, Revenue came in at $16.75 billion in FY2024 (+17.6%), $14.24 billion in FY2023 (+12.3%), $12.68 billion in FY2022 (+6.7%) and $11.89 billion in FY2021 (+19.9%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2009.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 17.6% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 3.7% (Q4 2022) and 22.8% (Q2 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.2 billion (Q1 2026), $5.29 billion (Q4 2025) and $5.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.44 Bn |
| Mar 31, 2026 | 5.20 Bn |
| Dec 31, 2025 | 5.29 Bn |
| Sep 30, 2025 | 5.07 Bn |
| Jun 30, 2025 | 5.06 Bn |
| Mar 31, 2025 | 4.66 Bn |
| Dec 31, 2024 | 4.56 Bn |
| Sep 30, 2024 | 4.21 Bn |
| Jun 30, 2024 | 4.12 Bn |
| Mar 31, 2024 | 3.86 Bn |
| Dec 31, 2023 | 3.73 Bn |
| Sep 30, 2023 | 3.53 Bn |
| Jun 30, 2023 | 3.60 Bn |
| Mar 31, 2023 | 3.39 Bn |
| Dec 31, 2022 | 3.24 Bn |
| Sep 30, 2022 | 3.17 Bn |
| Jun 30, 2022 | 3.24 Bn |
| Mar 31, 2022 | 3.03 Bn |
| Dec 31, 2021 | 3.13 Bn |
| Sep 30, 2021 | 2.93 Bn |
Boston Scientific Revenue 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=revenue&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();