Vycor Medical (VYCO) Shares Outstanding (Diluted) (2022 - 2026)
Vycor Medical's Shares Outstanding (Diluted) was 33.37 million in Q2 2026, down 13.7% from 38.67 million a year earlier and unchanged from the prior quarter.
Vycor Medical (VYCO) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
From Q2 2022 onward, Vycor Medical has reported Shares Outstanding (Diluted) for 17 quarters.
- Shares Outstanding (Diluted) has now increased for three consecutive years, with a three-year compound annual growth rate of 1.7% (FY2022 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 32.88 million in FY2024 (+0.9%), 32.6 million in FY2023 (+2.8%) and 31.71 million in FY2022.
- Quarterly Shares Outstanding (Diluted) has moved between 31.46 million (Q2 2022) and 38.67 million (Q2 2025) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in six of the last eight quarters, with growth averaging 1.5%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2023 (growth of 19.1%); the worst was Q2 2026 (a decline of 13.7%).
- Per Business Quant data, VYCO's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 33.37 million (Q1 2026), 33.37 million (Q4 2025) and 33.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Vycor Medical | 2.34 Mn | 1.85 Mn | 344,445.00 | 33.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.37 Mn |
| Mar 31, 2026 | 33.37 Mn |
| Dec 31, 2025 | 33.37 Mn |
| Sep 30, 2025 | 33.37 Mn |
| Jun 30, 2025 | 38.67 Mn |
| Mar 31, 2025 | 33.37 Mn |
| Dec 31, 2024 | 32.88 Mn |
| Sep 30, 2024 | 32.90 Mn |
| Jun 30, 2024 | 32.63 Mn |
| Mar 31, 2024 | 32.63 Mn |
| Dec 31, 2023 | 32.60 Mn |
| Sep 30, 2023 | 32.63 Mn |
| Jun 30, 2023 | 37.47 Mn |
| Mar 31, 2023 | 32.53 Mn |
| Dec 31, 2022 | 31.71 Mn |
| Sep 30, 2022 | 32.00 Mn |
| Jun 30, 2022 | 31.46 Mn |
Vycor Medical Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=VYCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=VYCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();