Vivos (RDGL) Shares Outstanding (Diluted) (2011 - 2026)
Vivos' Weighted Average Shares Outstanding (Diluted) came in at 490.7 million for Q2 2026, up 8.2% from 453.51 million a year earlier and up 6.2% from the prior quarter.
Vivos (RDGL) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Vivos' Weighted Average Shares Outstanding (Diluted) was 452.72 million, up 10.5% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last three years, though with a five-year compound annual growth rate of -49.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 409.67 million in FY2024 (+11.1%), 368.81 million in FY2023 (+4.9%), 351.43 million in FY2022 (-97.5%) and 13.87 billion in FY2021 (unchanged).
- The Q2 2026 figure represents the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2022.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 13 consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2025 (growth of 15.1%), and the weakest in Q2 2022 (a decline of 97.5%).
- Business Quant data shows RDGL's Weighted Average Shares Outstanding (Diluted) at 462.16 million (Q1 2026), 452.72 million (Q4 2025) and 454.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.32 Bn |
| 10 | Vivos | 19.77 Mn | 11.15 Mn | -1,720.00 | 490.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 490.70 Mn |
| Mar 31, 2026 | 462.16 Mn |
| Dec 31, 2025 | 452.72 Mn |
| Sep 30, 2025 | 454.30 Mn |
| Jun 30, 2025 | 453.51 Mn |
| Mar 31, 2025 | 448.23 Mn |
| Dec 31, 2024 | 409.67 Mn |
| Sep 30, 2024 | 418.63 Mn |
| Jun 30, 2024 | 403.38 Mn |
| Mar 31, 2024 | 389.41 Mn |
| Dec 31, 2023 | 368.81 Mn |
| Sep 30, 2023 | 370.54 Mn |
| Jun 30, 2023 | 368.17 Mn |
| Mar 31, 2023 | 362.54 Mn |
| Dec 31, 2022 | 351.43 Mn |
| Sep 30, 2022 | 343.91 Mn |
| Jun 30, 2022 | 343.91 Mn |
| Mar 31, 2022 | 13.87 Bn |
| Dec 31, 2021 | 13.87 Bn |
| Sep 30, 2021 | 13.87 Bn |
Vivos 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=RDGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RDGL", "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=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();