Vycor Medical (VYCO) Non Operating Interest Expenses (2010 - 2026)
Vycor Medical (VYCO) recorded Non Operating Interest Expenses of $25,834 in Q2 2026, up 1.6% from $25,434 a year earlier and up 0.5% from the prior quarter.
Vycor Medical (VYCO) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Vycor Medical's Non Operating Interest Expenses came in at $103,982 as of Jun 30, 2026, up 0.8% year-over-year; for FY2025, it came in at $103,582, unchanged from FY2024.
- Annual Non Operating Interest Expenses has a three-year compound annual growth rate of 3.9% (FY2022 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $103,578 in FY2024 (+0.5%), $103,065 in FY2023 (+11.8%) and $92,227 in FY2022.
- Quarterly Non Operating Interest Expenses has ranged from $20,226 in Q1 2022 to $26,455 in Q3 2025 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in five of the last eight quarters, with growth averaging 0.3%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 26.5% in Q1 2023, against a decline of 2.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $25,709 (Q1 2026), $25,984 (Q4 2025) and $26,455 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Vycor Medical | 2.34 Mn | 1.85 Mn | 344,445.00 | 25,834.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25,834.00 |
| Mar 31, 2026 | 25,709.00 |
| Dec 31, 2025 | 25,984.00 |
| Sep 30, 2025 | 26,455.00 |
| Jun 30, 2025 | 25,434.00 |
| Mar 31, 2025 | 25,709.00 |
| Dec 31, 2024 | 26,051.00 |
| Sep 30, 2024 | 25,990.00 |
| Jun 30, 2024 | 26,168.00 |
| Mar 31, 2024 | 25,369.00 |
| Dec 31, 2023 | 25,908.00 |
| Sep 30, 2023 | 25,920.00 |
| Jun 30, 2023 | 25,660.00 |
| Mar 31, 2023 | 25,577.00 |
| Dec 31, 2022 | 24,775.00 |
| Sep 30, 2022 | 23,862.00 |
| Jun 30, 2022 | 23,364.00 |
| Mar 31, 2022 | 20,226.00 |
| Jun 30, 2013 | 46,939.00 |
| Mar 31, 2013 | 42,893.00 |
Vycor Medical Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=VYCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=VYCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();