Medtronic (MDT) Total Liabilities (2014 - 2026)
Medtronic's Total Liabilities was $42.46 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 0.9% from $42.84 billion a year earlier and down 1.2% from the prior quarter.
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Analysis
Medtronic (MDT) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Total Liabilities at Medtronic came in at $42.96 billion, down 1.1% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $43.42 billion in FY2025 (+9.8%), $39.56 billion in FY2024 (+0.7%), $39.28 billion in FY2023 (+2.7%) and $38.26 billion in FY2022 (-7.8%).
- Quarterly Total Liabilities has moved between $37.07 billion (fiscal Q1 2023) and $43.42 billion (fiscal Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2025 (growth of 9.8%); the worst was fiscal Q3 2022 (a decline of 15.6%).
- Per Business Quant data, MDT's Total Liabilities in the three fiscal quarters before Q1 2027 was $42.96 billion (Q4 2026), $42.29 billion (Q3 2026) and $42.49 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42.46 Bn |
| Apr 24, 2026 | 42.96 Bn |
| Jan 23, 2026 | 42.29 Bn |
| Oct 24, 2025 | 42.49 Bn |
| Jul 25, 2025 | 42.84 Bn |
| Apr 25, 2025 | 43.42 Bn |
| Jan 24, 2025 | 40.36 Bn |
| Oct 25, 2024 | 41.33 Bn |
| Jul 26, 2024 | 41.59 Bn |
| Apr 26, 2024 | 39.56 Bn |
| Jan 26, 2024 | 38.84 Bn |
| Oct 27, 2023 | 38.44 Bn |
| Jul 28, 2023 | 39.41 Bn |
| Apr 28, 2023 | 39.28 Bn |
| Jan 27, 2023 | 42.52 Bn |
| Oct 28, 2022 | 41.18 Bn |
| Jul 29, 2022 | 37.07 Bn |
| Apr 29, 2022 | 38.26 Bn |
| Jan 28, 2022 | 39.09 Bn |
| Oct 29, 2021 | 39.60 Bn |
API Access
Medtronic Total Liabilities 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=total-liabilities&ticker=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();