enVVeno Medical (NVNO) Shares Outstanding (Diluted) (2017 - 2026)
enVVeno Medical (NVNO) recorded Weighted Average Shares Outstanding (Diluted) of 694,000 in Q3 2026, up 20.5% from 575,828 a year earlier and up 3.4% from the prior quarter.
enVVeno Medical (NVNO) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, enVVeno Medical reported Weighted Average Shares Outstanding (Diluted) of 589,000, up 20.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three straight years, with a three-year compound annual growth rate of 22.4% (FY2022 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 489,747 in FY2024 (+39.4%), 351,440 in FY2023 (+9.5%) and 320,841 in FY2022.
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 12 consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.0% (Q2 2023) and 43.1% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at 671,000 (Q2 2026), 654,000 (Q1 2026) and 589,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 1.32 Bn |
| 10 | enVVeno Medical | 4.29 Mn | -88.81 Mn | - | 694,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 694,000.00 |
| Jun 30, 2026 | 671,000.00 |
| Mar 31, 2026 | 654,000.00 |
| Dec 31, 2025 | 589,000.00 |
| Sep 30, 2025 | 575,828.00 |
| Jun 30, 2025 | 581,457.00 |
| Mar 31, 2025 | 581,457.00 |
| Dec 31, 2024 | 489,747.00 |
| Sep 30, 2024 | 459,034.00 |
| Jun 30, 2024 | 459,034.00 |
| Mar 31, 2024 | 458,748.00 |
| Dec 31, 2023 | 351,440.00 |
| Sep 30, 2023 | 320,870.00 |
| Jun 30, 2023 | 320,870.00 |
| Mar 31, 2023 | 320,870.00 |
| Dec 31, 2022 | 320,841.00 |
| Sep 30, 2022 | 320,813.00 |
| Jun 30, 2022 | 320,813.00 |
| Mar 31, 2022 | 320,813.00 |
| Dec 31, 2021 | 247,983.00 |
enVVeno 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=NVNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NVNO", "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=NVNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();