Boston Scientific (BSX) Income from Non-Controlling Interests (2023 - 2026)
Boston Scientific (BSX) reported Income from Non-Controlling Interests of -$2 million for Q2 2026, compared with -$2 million a year earlier.
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Analysis
Boston Scientific (BSX) Income from Non-Controlling Interests (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boston Scientific's Income from Non-Controlling Interests came in at -$6 million; for FY2025, it came in at -$6 million.
- By year, Income from Non-Controlling Interests came in at -$8 million in FY2024 and -$1 million in FY2023.
- Five-year quarterly Income from Non-Controlling Interests spans a low of -$4 million in Q4 2024 and a high of -$1 million in Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 5.00 Mn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 1.60 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 9.00 Mn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | -2.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | -500,000.00 |
| 10 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.00 Mn |
| Mar 31, 2026 | -2.00 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Jun 30, 2025 | -2.00 Mn |
| Mar 31, 2025 | -2.00 Mn |
| Dec 31, 2024 | -4.00 Mn |
| Jun 30, 2024 | -2.00 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | -1.00 Mn |
API Access
Boston Scientific Income from Non-Controlling Interests 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=income-from-non-controlling-interests&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();