Boston Scientific (BSX) Research & Development (2009 - 2026)
Boston Scientific's Research & Development was $520 million in Q3 2026, up 1.2% from $514 million a year earlier but down 6.1% from the prior quarter.
Boston Scientific (BSX) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's Research & Development was $2.16 billion through Sep 30, 2026, up 11.2% year-over-year; for FY2025, it came in at $2.05 billion, up 27.1% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Research & Development was $1.62 billion in FY2024 (+14.2%), $1.41 billion in FY2023 (+6.9%), $1.32 billion in FY2022 (+9.9%) and $1.2 billion in FY2021 (+5.3%).
- Quarterly Research & Development has moved between $319 million (Q1 2022) and $569 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for 20 straight quarters, with growth averaging 19.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Research & Development ranged from 1.2% (Q3 2026) to 37.3% (Q2 2025).
- Per Business Quant data, BSX's Research & Development in the three quarters before Q3 2026 was $554 million (Q2 2026), $516 million (Q1 2026) and $569 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn | 123.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 520.00 Mn |
| Jun 30, 2026 | 554.00 Mn |
| Mar 31, 2026 | 516.00 Mn |
| Dec 31, 2025 | 569.00 Mn |
| Sep 30, 2025 | 514.00 Mn |
| Jun 30, 2025 | 526.00 Mn |
| Mar 31, 2025 | 443.00 Mn |
| Dec 31, 2024 | 459.00 Mn |
| Sep 30, 2024 | 407.00 Mn |
| Jun 30, 2024 | 383.00 Mn |
| Mar 31, 2024 | 366.00 Mn |
| Dec 31, 2023 | 363.00 Mn |
| Sep 30, 2023 | 356.00 Mn |
| Jun 30, 2023 | 359.00 Mn |
| Mar 31, 2023 | 337.00 Mn |
| Dec 31, 2022 | 330.00 Mn |
| Sep 30, 2022 | 339.00 Mn |
| Jun 30, 2022 | 335.00 Mn |
| Mar 31, 2022 | 319.00 Mn |
| Dec 31, 2021 | 320.00 Mn |
Boston Scientific Research & Development 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=research-and-development&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();