Vycor Medical (VYCO) Total Non-Current Liabilities (2014 - 2026)
Vycor Medical (VYCO) reported Total Non-Current Liabilities of $1.26 million for Q2 2026, up 0.3% from $1.26 million a year earlier and up 1.1% from the prior quarter.
Vycor Medical (VYCO) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
Dating back to Q1 2014, Vycor Medical's Total Non-Current Liabilities record includes 29 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 40.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.39 million in FY2024 (+2.3%), $1.36 million in FY2023 (+828.7%), $146,253 in FY2022 (-19.0%) and $180,580 in FY2021 (-20.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $145,429 in Q1 2023 and a high of $1.44 million in Q3 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 830.6%); the low point was Q2 2022 (a decline of 24.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.25 million (Q1 2026), $1.26 million (Q4 2025) and $1.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Vycor Medical | 2.34 Mn | 1.85 Mn | 344,445.00 | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.26 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 1.39 Mn |
| Sep 30, 2024 | 1.44 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 1.35 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | 145,429.00 |
| Dec 31, 2022 | 146,253.00 |
| Sep 30, 2022 | 147,070.00 |
| Jun 30, 2022 | 153,900.00 |
| Mar 31, 2022 | 167,060.00 |
| Dec 31, 2021 | 180,580.00 |
| Sep 30, 2021 | 192,625.00 |
Vycor Medical 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=VYCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VYCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();