Boston Scientific (BSX) Revenue (2009 - 2026)
Analysis
Boston Scientific (BSX) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.35 Bn | 238.86 Bn | 5.13 Bn | 12.14 Bn |
| 2 | Abbott Laboratories | 191.08 Bn | 164.94 Bn | 7.39 Bn | 13.01 Bn |
| 3 | Danaher | 164.06 Bn | 143.72 Bn | 3.84 Bn | 6.55 Bn |
| 4 | Intuitive Surgical | 160.89 Bn | 141.18 Bn | 2.08 Bn | 3.05 Bn |
| 5 | Medtronic | 131.72 Bn | 96.97 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 125.24 Bn | 111.43 Bn | 4.25 Bn | 6.52 Bn |
| 7 | Boston Scientific | 63.78 Bn | 59.21 Bn | 3.43 Bn | 5.14 Bn |
| 8 | Edwards Lifesciences | 60.09 Bn | 43.29 Bn | 1.35 Bn | 1.72 Bn |
| 9 | Becton Dickinson | 59.03 Bn | 56.18 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Agilent Technologies | 50.47 Bn | 43.36 Bn | 1.04 Bn | 1.88 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.14 Bn |
| 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 |
API Access
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();