Vycor Medical (VYCO) Total Liabilities (2010 - 2026)
Vycor Medical's Total Liabilities was $5.06 million in Q2 2026, up 6.7% from $4.75 million a year earlier but down 0.4% from the prior quarter.
Vycor Medical (VYCO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Vycor Medical came in at $4.92 million, up 4.9% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $4.69 million in FY2024 (+8.6%), $4.32 million in FY2023 (+13.6%), $3.8 million in FY2022 and -$1.46 million in FY2021.
- Quarterly Total Liabilities has moved between -$1.46 million (Q4 2021) and $5.08 million (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 6.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 4.4% (Q3 2025) to 15.3% (Q2 2024).
- Per Business Quant data, VYCO's Total Liabilities in the three quarters before Q2 2026 was $5.08 million (Q1 2026), $4.92 million (Q4 2025) and $4.97 million (Q3 2025).
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 | Vycor Medical | 2.34 Mn | 1.85 Mn | 344,445.00 | 5.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.06 Mn |
| Mar 31, 2026 | 5.08 Mn |
| Dec 31, 2025 | 4.92 Mn |
| Sep 30, 2025 | 4.97 Mn |
| Jun 30, 2025 | 4.75 Mn |
| Mar 31, 2025 | 4.83 Mn |
| Dec 31, 2024 | 4.69 Mn |
| Sep 30, 2024 | 4.76 Mn |
| Jun 30, 2024 | 4.53 Mn |
| Mar 31, 2024 | 4.49 Mn |
| Dec 31, 2023 | 4.32 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | 3.92 Mn |
| Mar 31, 2023 | 3.93 Mn |
| Dec 31, 2022 | 3.80 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.51 Mn |
| Mar 31, 2022 | 3.52 Mn |
| Dec 31, 2021 | -1.46 Mn |
| Sep 30, 2021 | 3.30 Mn |
Vycor 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=VYCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VYCO", "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=VYCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();