Medinotec (MDNC) Total Liabilities (2022 - 2026)
Medinotec (MDNC) posted Total Liabilities of $1.13 million for fiscal Q1 2027 (quarter ended May 31, 2026), down 62.7% from $3.04 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Medinotec (MDNC) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Medinotec's Total Liabilities came in at $1.1 million, down 56.6% from FY2025.
- Annual Total Liabilities shows a four-year compound annual growth rate of -11.5% (FY2022 to FY2026).
- In prior fiscal years, Medinotec's Total Liabilities was $2.54 million in FY2025 (-3.8%), $2.64 million in FY2024 (+36.3%), $1.93 million in FY2023 (+7.9%) and $1.79 million in FY2022.
- Quarterly Total Liabilities has run from a low of $1.1 million in fiscal Q4 2026 to a high of $3.04 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 14.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2026, with growth of 46.5%; the weakest was fiscal Q1 2027, with a decline of 62.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.1 million (Q4 2026), $1.35 million (Q3 2026) and $1.53 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Medinotec | 58.78 Mn | 50.33 Mn | 1.31 Mn | 1.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.13 Mn |
| Feb 28, 2026 | 1.10 Mn |
| Nov 30, 2025 | 1.35 Mn |
| Aug 31, 2025 | 1.53 Mn |
| May 31, 2025 | 3.04 Mn |
| Feb 28, 2025 | 2.54 Mn |
| Nov 30, 2024 | 2.54 Mn |
| Aug 31, 2024 | 2.77 Mn |
| May 31, 2024 | 2.07 Mn |
| Feb 29, 2024 | 2.64 Mn |
| Nov 30, 2023 | 1.92 Mn |
| Aug 31, 2023 | 2.36 Mn |
| May 31, 2023 | 2.07 Mn |
| Feb 28, 2023 | 1.93 Mn |
| Nov 30, 2022 | 2.15 Mn |
| Feb 28, 2022 | 1.79 Mn |
API Access
Medinotec 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=MDNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MDNC", "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=MDNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();