Boston Scientific (BSX) Capital Expenditures (2009 - 2026)
Boston Scientific (BSX) posted Capital Expenditures of $195 million for Q2 2026, up 24.2% from $157 million a year earlier and up 10.2% from the prior quarter.
Boston Scientific (BSX) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Boston Scientific was $904 million, up 13.0% year-over-year; for FY2025, it came in at $876 million, up 10.9% from FY2024.
- Annual Capital Expenditures has increased for five consecutive years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In prior years, Boston Scientific's Capital Expenditures was $790 million in FY2024 (+11.1%), $711 million in FY2023 (+20.9%), $588 million in FY2022 (+6.1%) and $554 million in FY2021 (+47.3%).
- Quarterly Capital Expenditures has run from a low of $105 million in Q2 2022 to a high of $351 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in six of the last eight quarters, with growth averaging 6.3%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2021, with growth of 118.4%; the weakest was Q4 2022, with a decline of 20.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $177 million (Q1 2026), $351 million (Q4 2025) and $181 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 202.00 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 | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 80.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.00 Mn |
| Mar 31, 2026 | 177.00 Mn |
| Dec 31, 2025 | 351.00 Mn |
| Sep 30, 2025 | 181.00 Mn |
| Jun 30, 2025 | 157.00 Mn |
| Mar 31, 2025 | 187.00 Mn |
| Dec 31, 2024 | 277.00 Mn |
| Sep 30, 2024 | 179.00 Mn |
| Jun 30, 2024 | 155.00 Mn |
| Mar 31, 2024 | 179.00 Mn |
| Dec 31, 2023 | 267.00 Mn |
| Sep 30, 2023 | 190.00 Mn |
| Jun 30, 2023 | 143.00 Mn |
| Mar 31, 2023 | 111.00 Mn |
| Dec 31, 2022 | 212.00 Mn |
| Sep 30, 2022 | 150.00 Mn |
| Jun 30, 2022 | 105.00 Mn |
| Mar 31, 2022 | 121.00 Mn |
| Dec 31, 2021 | 266.00 Mn |
| Sep 30, 2021 | 107.00 Mn |
Boston Scientific Capital Expenditures 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=capital-expenditures&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();