Boston Scientific (BSX) Tax Provisions (2009 - 2026)
Boston Scientific's Tax Provisions came in at $153 million for Q3 2026, down 16.4% from $183 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Boston Scientific (BSX) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Boston Scientific reported Tax Provisions of $162 million, down 66.6% year-over-year; for FY2025, it came in at $493 million, up 13.1% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 200.9% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $436 million in FY2024 (+10.9%), $393 million in FY2023 (-11.3%), $443 million in FY2022 and $36 million in FY2021.
- The five-year range for quarterly Tax Provisions is -$176 million (Q1 2026) to $255 million (Q4 2022).
- Year-over-year, Tax Provisions increased in four of the last six quarters, with growth averaging 12.7%.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2022 (growth of 880.8%), and the weakest in Q4 2023 (a decline of 99.6%).
- Business Quant data shows BSX's Tax Provisions at $155 million (Q2 2026), -$176 million (Q1 2026) and $30 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.02 Bn | 238.53 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 190.67 Bn | 164.53 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 163.88 Bn | 143.53 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 160.79 Bn | 141.08 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 131.42 Bn | 96.67 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 125.24 Bn | 111.42 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 63.54 Bn | 58.97 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 59.92 Bn | 43.12 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Becton Dickinson | 58.88 Bn | 56.03 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Agilent Technologies | 50.44 Bn | 43.33 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.00 Mn |
| Jun 30, 2026 | 155.00 Mn |
| Mar 31, 2026 | -176.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 183.00 Mn |
| Jun 30, 2025 | 146.00 Mn |
| Mar 31, 2025 | 133.00 Mn |
| Dec 31, 2024 | 23.00 Mn |
| Sep 30, 2024 | 200.00 Mn |
| Jun 30, 2024 | 98.00 Mn |
| Mar 31, 2024 | 115.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 105.00 Mn |
| Jun 30, 2023 | 156.00 Mn |
| Mar 31, 2023 | 131.00 Mn |
| Dec 31, 2022 | 255.00 Mn |
| Sep 30, 2022 | 57.00 Mn |
| Jun 30, 2022 | 85.00 Mn |
| Mar 31, 2022 | 45.00 Mn |
| Dec 31, 2021 | 26.00 Mn |
API Access
Boston Scientific Tax Provisions 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=tax-provisions&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();