Envoy Medical (COCH) Total Liabilities (2020 - 2026)
Envoy Medical (COCH) reported Total Liabilities of $20.65 million for Q2 2026, down 48.1% from $39.76 million a year earlier but up 5.0% from the prior quarter.
Envoy Medical (COCH) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Envoy Medical posted Total Liabilities of $20.72 million, down 31.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 193.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $30.38 million in FY2024 (+202.4%), $10.05 million in FY2023 (-74.1%), $38.75 million in FY2022 (-91.8%) and $471.86 million in FY2021.
- Five-year quarterly Total Liabilities spans a low of $10.05 million in Q4 2023 and a high of $471.86 million in Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with growth averaging 41.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2024 (growth of 202.4%); the low point was Q3 2023 (a decline of 96.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.66 million (Q1 2026), $20.72 million (Q4 2025) and $15.84 million (Q3 2025).
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 | Envoy Medical | 70.75 Mn | 18.52 Mn | -227,000.00 | 20.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.65 Mn |
| Mar 31, 2026 | 19.66 Mn |
| Dec 31, 2025 | 20.72 Mn |
| Sep 30, 2025 | 15.84 Mn |
| Jun 30, 2025 | 39.76 Mn |
| Mar 31, 2025 | 34.61 Mn |
| Dec 31, 2024 | 30.38 Mn |
| Sep 30, 2024 | 27.94 Mn |
| Jun 30, 2024 | 19.14 Mn |
| Mar 31, 2024 | 15.91 Mn |
| Dec 31, 2023 | 10.05 Mn |
| Sep 30, 2023 | 16.43 Mn |
| Jun 30, 2023 | 90.16 Mn |
| Mar 31, 2023 | 93.42 Mn |
| Dec 31, 2022 | 38.75 Mn |
| Sep 30, 2022 | 453.36 Mn |
| Jun 30, 2022 | 453.35 Mn |
| Mar 31, 2022 | 451.93 Mn |
| Dec 31, 2021 | 471.86 Mn |
| Sep 30, 2021 | 459.71 Mn |
Envoy 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=COCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "COCH", "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=COCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();