Boston Scientific (BSX) Consolidated Net Income (2009 - 2026)
Boston Scientific (BSX) recorded Consolidated Net Income of $905 million in Q2 2026, up 13.8% from $795 million a year earlier but down 32.4% from the prior quarter.
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Analysis
Boston Scientific (BSX) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Consolidated Net Income came in at $3.67 billion as of Jun 30, 2026, up 46.9% year-over-year; for FY2025, it was $2.89 billion, up 56.7% from FY2024.
- Annual Consolidated Net Income has increased for three straight years.
- Across earlier years, Consolidated Net Income came in at $1.85 billion in FY2024 (+16.0%), $1.59 billion in FY2023 (+128.1%), $698 million in FY2022 (-32.9%) and $1.04 billion in FY2021.
- Quarterly Consolidated Net Income has ranged from $95 million in Q4 2021 to $1.34 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Consolidated Net Income has increased for seven consecutive quarters, with growth averaging 47.7% over the last eight quarters.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 260.0% in Q4 2023, against a decline of 67.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.34 billion (Q1 2026), $670 million (Q4 2025) and $755 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 241.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 377.00 Mn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 362.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 905.00 Mn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 670.00 Mn |
| Sep 30, 2025 | 755.00 Mn |
| Jun 30, 2025 | 795.00 Mn |
| Mar 31, 2025 | 672.00 Mn |
| Dec 31, 2024 | 562.00 Mn |
| Sep 30, 2024 | 468.00 Mn |
| Jun 30, 2024 | 322.00 Mn |
| Mar 31, 2024 | 493.00 Mn |
| Dec 31, 2023 | 504.00 Mn |
| Sep 30, 2023 | 504.00 Mn |
| Jun 30, 2023 | 270.00 Mn |
| Mar 31, 2023 | 314.00 Mn |
| Dec 31, 2022 | 140.00 Mn |
| Sep 30, 2022 | 188.00 Mn |
| Jun 30, 2022 | 260.00 Mn |
| Mar 31, 2022 | 110.00 Mn |
| Dec 31, 2021 | 95.00 Mn |
| Sep 30, 2021 | 419.00 Mn |
API Access
Boston Scientific Consolidated Net 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=consolidated-net-income&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();