Boston Scientific (BSX) Acquisitions (2009 - 2026)
Boston Scientific's Acquisitions was $195 million in Q2 2026, down 80.7% from $1.01 billion a year earlier and down 62.7% from the prior quarter.
Boston Scientific (BSX) Acquisitions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's Acquisitions was $1.06 billion through Jun 30, 2026, down 81.7% year-over-year; for FY2025, it came in at $1.59 billion, down 65.7% from FY2024.
- Acquisitions shows a five-year compound annual growth rate of 250.8% (FY2020 to FY2025).
- In earlier years, Acquisitions was $4.64 billion in FY2024 (+156.2%), $1.81 billion in FY2023 (+17.4%), $1.54 billion in FY2022 (-31.7%) and $2.26 billion in FY2021.
- Quarterly Acquisitions has moved between $47 million (Q1 2024) and $3.42 billion (Q4 2024) over five years.
- Compared with a year earlier, Acquisitions was higher in three of the last six quarters, with growth averaging 100.5%.
- The best year-over-year quarter for Acquisitions over five years was Q1 2025 (growth of 408.5%); the worst was Q4 2025 (a decline of 97.4%).
- Per Business Quant data, BSX's Acquisitions in the three quarters before Q2 2026 was $523 million (Q1 2026), $89 million (Q4 2025) and $256 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.16 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 437.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 22.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.10 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 950.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.00 Mn |
| Mar 31, 2026 | 523.00 Mn |
| Dec 31, 2025 | 89.00 Mn |
| Sep 30, 2025 | 256.00 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 239.00 Mn |
| Dec 31, 2024 | 3.42 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 48.00 Mn |
| Mar 31, 2024 | 47.00 Mn |
| Dec 31, 2023 | 793.00 Mn |
| Jun 30, 2023 | 643.00 Mn |
| Mar 31, 2023 | 375.00 Mn |
| Sep 30, 2022 | 71.00 Mn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 244.00 Mn |
| Sep 30, 2021 | 1.31 Bn |
| Mar 31, 2021 | 706.00 Mn |
| Jun 30, 2020 | 3.00 Mn |
| Sep 30, 2019 | 3.62 Bn |
Boston Scientific Acquisitions 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=acquisitions&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();