Becton Dickinson (BDX) Tax Provisions (2009 - 2026)
Becton Dickinson's Tax Provisions was $102 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 13.6% from $118 million a year earlier but up 34.2% from the prior quarter.
Powered by 
Analysis
Becton Dickinson (BDX) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Becton Dickinson's Tax Provisions was $241 million through Jun 30, 2026, down 13.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $203 million, down 32.3% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $300 million in FY2024 (+127.3%), $132 million in FY2023 (-10.8%), $148 million in FY2022 (+68.2%) and $88 million in FY2021 (+41.9%).
- Quarterly Tax Provisions has moved between -$28 million (fiscal Q1 2023) and $118 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last eight quarters, with growth averaging 154.9%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2025 (growth of 807.7%); the worst was fiscal Q1 2025 (a decline of 96.1%).
- Per Business Quant data, BDX's Tax Provisions in the three fiscal quarters before Q3 2026 was $76 million (Q2 2026), $11 million (Q1 2026) and $52 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.00 Mn |
| Mar 31, 2026 | 76.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 52.00 Mn |
| Jun 30, 2025 | 118.00 Mn |
| Mar 31, 2025 | 43.00 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 96.00 Mn |
| Dec 31, 2023 | 77.00 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 68.00 Mn |
| Dec 31, 2022 | -28.00 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 31.00 Mn |
| Mar 31, 2022 | 52.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | -4.00 Mn |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BDX", "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=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();