ENvue Medical (FEED) Total Liabilities (2014 - 2026)
ENvue Medical's Total Liabilities came in at $7.65 million for Q2 2026, down 30.5% from $11.01 million a year earlier and down 2.7% from the prior quarter.
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Analysis
ENvue Medical (FEED) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, ENvue Medical's Total Liabilities was $7.63 million, up 154.1% from FY2024.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3 million in FY2024 (+11.8%), $2.69 million in FY2023 (+1.5%), $2.65 million in FY2022 (+14.6%) and $2.31 million in FY2021 (-60.4%).
- The five-year range for quarterly Total Liabilities is $955,000 (Q3 2021) to $11.92 million (Q3 2025).
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 119.0%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 324.2%), and the weakest in Q4 2021 (a decline of 60.4%).
- Business Quant data shows FEED's Total Liabilities at $7.86 million (Q1 2026), $7.63 million (Q4 2025) and $11.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | ENvue Medical | 138,538.09 | -14.38 Mn | -266,000.00 | 7.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.65 Mn |
| Mar 31, 2026 | 7.86 Mn |
| Dec 31, 2025 | 7.63 Mn |
| Sep 30, 2025 | 11.92 Mn |
| Jun 30, 2025 | 11.01 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 2.86 Mn |
| Mar 31, 2024 | 2.73 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Sep 30, 2023 | 2.67 Mn |
| Jun 30, 2023 | 2.67 Mn |
| Mar 31, 2023 | 2.61 Mn |
| Dec 31, 2022 | 2.65 Mn |
| Sep 30, 2022 | 2.06 Mn |
| Jun 30, 2022 | 2.41 Mn |
| Mar 31, 2022 | 2.40 Mn |
| Dec 31, 2021 | 2.31 Mn |
| Sep 30, 2021 | 955,000.00 |
API Access
ENvue Medical 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=FEED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FEED", "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=FEED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();