Vycor Medical (VYCO) Other Accumulated Expenses (2010 - 2026)
Vycor Medical (VYCO) posted Other Accumulated Expenses of $818,483 for Q2 2026, up 4.9% from $780,370 a year earlier but down 2.5% from the prior quarter.
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Analysis
Vycor Medical (VYCO) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Vycor Medical's Other Accumulated Expenses came in at $814,709, up 11.4% from FY2024.
- Annual Other Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Vycor Medical's Other Accumulated Expenses was $731,425 in FY2024 (+9.4%), $668,419 in FY2023 (+57.3%), $424,897 in FY2022 (+11.7%) and $380,479 in FY2021 (+15.7%).
- Quarterly Other Accumulated Expenses has run from a low of $369,168 in Q3 2021 to a high of $2.4 million in Q3 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last seven quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2023, with growth of 480.4%; the weakest was Q3 2024, with a decline of 69.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $839,116 (Q1 2026), $814,709 (Q4 2025) and $790,040 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Vycor Medical | 2.34 Mn | 1.85 Mn | 344,445.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 818,483.00 |
| Mar 31, 2026 | 839,116.00 |
| Dec 31, 2025 | 814,709.00 |
| Sep 30, 2025 | 790,040.00 |
| Jun 30, 2025 | 780,370.00 |
| Mar 31, 2025 | 755,832.00 |
| Dec 31, 2024 | 731,425.00 |
| Sep 30, 2024 | 741,896.00 |
| Jun 30, 2024 | 717,227.00 |
| Mar 31, 2024 | 692,419.00 |
| Dec 31, 2023 | 668,419.00 |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 2.24 Mn |
| Mar 31, 2023 | 2.21 Mn |
| Dec 31, 2022 | 424,897.00 |
| Sep 30, 2022 | 413,091.00 |
| Jun 30, 2022 | 401,779.00 |
| Mar 31, 2022 | 390,599.00 |
| Dec 31, 2021 | 380,479.00 |
| Sep 30, 2021 | 369,168.00 |
API Access
Vycor Medical Other Accumulated 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=other-accumulated-expenses&ticker=VYCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=VYCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();