Boston Scientific (BSX) Operating Income (2009 - 2026)
Boston Scientific (BSX) reported Operating Income of $1.18 billion for Q2 2026, up 43.8% from $819 million a year earlier and up 7.0% from the prior quarter.
Boston Scientific (BSX) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boston Scientific's Operating Income came in at $4.15 billion, up 31.9% year-over-year; for FY2025, it was $3.61 billion, up 38.8% from FY2024.
- Operating Income has increased for four consecutive years.
- By year, Operating Income came in at $2.6 billion in FY2024 (+11.1%), $2.34 billion in FY2023 (+42.1%), $1.65 billion in FY2022 (+37.5%) and $1.2 billion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Income in data going back to Q1 2009.
- Year over year, Operating Income has now increased in each of the last 15 quarters, with growth averaging 30.5% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q4 2021 (growth of 260.0%); the low point was Q3 2022 (a decline of 7.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.1 billion (Q1 2026), $825 million (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 825.00 Mn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 819.00 Mn |
| Mar 31, 2025 | 921.00 Mn |
| Dec 31, 2024 | 675.00 Mn |
| Sep 30, 2024 | 733.00 Mn |
| Jun 30, 2024 | 520.00 Mn |
| Mar 31, 2024 | 675.00 Mn |
| Dec 31, 2023 | 584.00 Mn |
| Sep 30, 2023 | 693.00 Mn |
| Jun 30, 2023 | 514.00 Mn |
| Mar 31, 2023 | 552.00 Mn |
| Dec 31, 2022 | 402.00 Mn |
| Sep 30, 2022 | 358.00 Mn |
| Jun 30, 2022 | 423.00 Mn |
| Mar 31, 2022 | 466.00 Mn |
| Dec 31, 2021 | 180.00 Mn |
| Sep 30, 2021 | 387.00 Mn |
Boston Scientific Operating Income 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=operating-income&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();