Boston Scientific (BSX) Market Capitalization (2009 - 2026)
Boston Scientific (BSX) posted Market Capitalization of $63.26 billion for Q3 2026, down 56.3% from $144.73 billion a year earlier but up 2.3% from the prior quarter.
Boston Scientific (BSX) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025, Boston Scientific's Market Capitalization came in at $141.49 billion, up 7.3% from FY2024.
- Annual Market Capitalization has increased for five consecutive years, with a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- In prior years, Boston Scientific's Market Capitalization was $131.82 billion in FY2024 (+55.4%), $84.81 billion in FY2023 (+27.8%), $66.39 billion in FY2022 (+9.5%) and $60.61 billion in FY2021 (+19.0%).
- Quarterly Market Capitalization has run from a low of $53.36 billion in Q2 2022 to a high of $159.15 billion in Q2 2025 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last three quarters, with growth averaging 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q3 2024, with growth of 59.7%; the weakest was Q2 2026, with a decline of 61.1%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $61.85 billion (Q2 2026), $93.27 billion (Q1 2026) and $141.49 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.80 Bn | 237.32 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.36 Bn | 164.22 Bn | 7.39 Bn |
| 3 | Danaher | 163.19 Bn | 142.85 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 160.60 Bn | 140.89 Bn | 2.08 Bn |
| 5 | Medtronic | 131.14 Bn | 96.39 Bn | 6.34 Bn |
| 6 | Stryker | 125.36 Bn | 111.55 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.55 Bn | 58.99 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.76 Bn | 42.97 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.80 Bn | 55.95 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 50.24 Bn | 43.13 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.27 Bn |
| Jun 30, 2026 | 61.85 Bn |
| Mar 31, 2026 | 93.27 Bn |
| Dec 31, 2025 | 141.49 Bn |
| Sep 30, 2025 | 144.73 Bn |
| Jun 30, 2025 | 159.15 Bn |
| Mar 31, 2025 | 149.25 Bn |
| Dec 31, 2024 | 131.82 Bn |
| Sep 30, 2024 | 123.51 Bn |
| Jun 30, 2024 | 113.41 Bn |
| Mar 31, 2024 | 100.69 Bn |
| Dec 31, 2023 | 84.81 Bn |
| Sep 30, 2023 | 77.35 Bn |
| Jun 30, 2023 | 79.20 Bn |
| Mar 31, 2023 | 71.93 Bn |
| Dec 31, 2022 | 66.39 Bn |
| Sep 30, 2022 | 55.47 Bn |
| Jun 30, 2022 | 53.36 Bn |
| Mar 31, 2022 | 63.32 Bn |
| Dec 31, 2021 | 60.61 Bn |
Boston Scientific Market Capitalization 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=market-capitalization&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();