Medtronic (MDT) Total Non-Current Liabilities (2014 - 2026)
Medtronic (MDT) recorded Total Non-Current Liabilities of $40.46 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.4% from $41.03 billion a year earlier and down 1.1% from the prior quarter.
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Analysis
Medtronic (MDT) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 24, 2026), Medtronic reported Total Non-Current Liabilities of $40.9 billion, down 1.8% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $41.66 billion in FY2025 (+10.5%), $37.7 billion in FY2024 (+2.1%), $36.92 billion in FY2023 (+2.1%) and $36.17 billion in FY2022 (-12.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Non-Current Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 3.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 10.5% in fiscal Q4 2025, against a decline of 16.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $40.9 billion (Q4 2026), $40.52 billion (Q3 2026) and $40.73 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 40.46 Bn |
| Apr 24, 2026 | 40.90 Bn |
| Jan 23, 2026 | 40.52 Bn |
| Oct 24, 2025 | 40.73 Bn |
| Jul 25, 2025 | 41.03 Bn |
| Apr 25, 2025 | 41.66 Bn |
| Jan 24, 2025 | 38.83 Bn |
| Oct 25, 2024 | 39.79 Bn |
| Jul 26, 2024 | 39.67 Bn |
| Apr 26, 2024 | 37.70 Bn |
| Jan 26, 2024 | 37.02 Bn |
| Oct 27, 2023 | 36.66 Bn |
| Jul 28, 2023 | 37.00 Bn |
| Apr 28, 2023 | 36.92 Bn |
| Jan 27, 2023 | 40.21 Bn |
| Oct 28, 2022 | 40.84 Bn |
| Jul 29, 2022 | 36.88 Bn |
| Apr 29, 2022 | 36.17 Bn |
| Jan 28, 2022 | 36.98 Bn |
| Oct 29, 2021 | 39.33 Bn |
API Access
Medtronic Total Non-Current 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-non-current-liabilities&ticker=MDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();