Medtronic (MDT) Tax Provisions (2014 - 2026)
Medtronic's Tax Provisions came in at $289 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 13.3% from $255 million a year earlier but down 49.7% from the prior quarter.
Powered by 
Analysis
Medtronic (MDT) Tax Provisions (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Medtronic reported Tax Provisions of $1.33 billion, up 37.1% year-over-year; for FY2026 (ended Apr 24, 2026), it was $1.3 billion, up 38.8% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 37.4% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $936 million in FY2025 (-17.4%), $1.13 billion in FY2024 (-28.3%), $1.58 billion in FY2023 (+246.5%) and $456 million in FY2022 (+72.1%).
- The five-year range for quarterly Tax Provisions is $106 million (fiscal Q3 2022) to $959 million (fiscal Q2 2023).
- Year-over-year, Tax Provisions has increased for three consecutive quarters, with growth averaging 31.0% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2022 (growth of 467.7%), and the weakest in fiscal Q2 2024 (a decline of 58.1%).
- Business Quant data shows MDT's Tax Provisions at $575 million (Q4 2026), $254 million (Q3 2026) and $215 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 |
|---|---|
| Jul 31, 2026 | 289.00 Mn |
| Apr 24, 2026 | 575.00 Mn |
| Jan 23, 2026 | 254.00 Mn |
| Oct 24, 2025 | 215.00 Mn |
| Jul 25, 2025 | 255.00 Mn |
| Apr 25, 2025 | 199.00 Mn |
| Jan 24, 2025 | 237.00 Mn |
| Oct 25, 2024 | 281.00 Mn |
| Jul 26, 2024 | 220.00 Mn |
| Apr 26, 2024 | 197.00 Mn |
| Jan 26, 2024 | 135.00 Mn |
| Oct 27, 2023 | 402.00 Mn |
| Jul 28, 2023 | 400.00 Mn |
| Apr 28, 2023 | 362.00 Mn |
| Jan 27, 2023 | 146.00 Mn |
| Oct 28, 2022 | 959.00 Mn |
| Jul 29, 2022 | 112.00 Mn |
| Apr 29, 2022 | 110.00 Mn |
| Jan 28, 2022 | 106.00 Mn |
| Oct 29, 2021 | 176.00 Mn |
API Access
Medtronic 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=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "MDT", "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=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();