Medtronic (MDT) EBITDA (2014 - 2026)
Medtronic (MDT) posted EBITDA of $2.49 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 13.7% from $2.19 billion a year earlier but down 3.7% from the prior quarter.
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Analysis
Medtronic (MDT) EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBITDA at Medtronic was $9.73 billion, up 7.2% year-over-year; for FY2026 (ended Apr 24, 2026), it was $9.43 billion, up 6.9% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, Medtronic's EBITDA was $8.82 billion in FY2025 (+13.2%), $7.79 billion in FY2024 (-4.8%), $8.18 billion in FY2023 (-3.3%) and $8.46 billion in FY2022 (+17.7%).
- Quarterly EBITDA has run from a low of $1.71 billion in fiscal Q4 2024 to a high of $2.59 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 12.2%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2022, with growth of 39.9%; the weakest was fiscal Q4 2024, with a decline of 23.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $2.59 billion (Q4 2026), $2.21 billion (Q3 2026) and $2.43 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.49 Bn |
| Apr 24, 2026 | 2.59 Bn |
| Jan 23, 2026 | 2.21 Bn |
| Oct 24, 2025 | 2.43 Bn |
| Jul 25, 2025 | 2.19 Bn |
| Apr 25, 2025 | 2.28 Bn |
| Jan 24, 2025 | 2.33 Bn |
| Oct 25, 2024 | 2.27 Bn |
| Jul 26, 2024 | 1.94 Bn |
| Apr 26, 2024 | 1.71 Bn |
| Jan 26, 2024 | 2.13 Bn |
| Oct 27, 2023 | 2.01 Bn |
| Jul 28, 2023 | 1.94 Bn |
| Apr 28, 2023 | 2.24 Bn |
| Jan 27, 2023 | 2.07 Bn |
| Oct 28, 2022 | 2.08 Bn |
| Jul 29, 2022 | 1.79 Bn |
| Apr 29, 2022 | 2.36 Bn |
| Jan 28, 2022 | 2.33 Bn |
| Oct 29, 2021 | 2.24 Bn |
API Access
Medtronic EBITDA 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=ebitda&ticker=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();