Boston Scientific (BSX) Tax Provisions (2009 - 2026)
Boston Scientific's Tax Provisions came in at $155 million for Q2 2026, up 6.2% from $146 million a year earlier.
Boston Scientific (BSX) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boston Scientific reported Tax Provisions of $192 million, down 61.8% 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 five of the last six quarters, with growth averaging 30.5%.
- 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 -$176 million (Q1 2026), $30 million (Q4 2025) and $183 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 64.00 Mn |
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_KEY
import 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();