Medtronic (MDT) Interest Expenses (2014 - 2026)
Medtronic (MDT) reported Interest Expenses of $186 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.7% from $176 million a year earlier and up 5.7% from the prior quarter.
Medtronic (MDT) Interest Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Medtronic's Interest Expenses came in at $724 million, down 1.9% year-over-year; for FY2026 (ended Apr 24, 2026), it was $715 million, down 1.9% from FY2025.
- Interest Expenses has a five-year compound annual growth rate of -5.0% (FY2021 to FY2026).
- By fiscal year, Interest Expenses came in at $729 million in FY2025 (+1.4%), $719 million in FY2024 (+13.1%), $636 million in FY2023 (+15.0%) and $553 million in FY2022 (-40.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Interest Expenses since fiscal Q2 2025.
- Year over year, Interest Expenses has now increased in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q2 2024 (growth of 52.5%); the low point was fiscal Q2 2022 (a decline of 71.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $176 million (Q4 2026), $181 million (Q3 2026) and $181 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 186.00 Mn |
| Apr 24, 2026 | 176.00 Mn |
| Jan 23, 2026 | 181.00 Mn |
| Oct 24, 2025 | 181.00 Mn |
| Jul 25, 2025 | 176.00 Mn |
| Apr 25, 2025 | 174.00 Mn |
| Jan 24, 2025 | 179.00 Mn |
| Oct 25, 2024 | 209.00 Mn |
| Jul 26, 2024 | 167.00 Mn |
| Apr 26, 2024 | 202.00 Mn |
| Jan 26, 2024 | 188.00 Mn |
| Oct 27, 2023 | 180.00 Mn |
| Jul 28, 2023 | 148.00 Mn |
| Apr 28, 2023 | 187.00 Mn |
| Jan 27, 2023 | 167.00 Mn |
| Oct 28, 2022 | 118.00 Mn |
| Jul 29, 2022 | 164.00 Mn |
| Apr 29, 2022 | 143.00 Mn |
| Jan 28, 2022 | 137.00 Mn |
| Oct 29, 2021 | 136.00 Mn |
Medtronic Interest Expenses 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=interest-expenses&ticker=MDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();