Vivos (RDGL) Shares Outstanding (Diluted) (2011 - 2025)
Vivos' Shares Outstanding (Diluted) came in at 452.72 million for Q4 2025, up 10.5% from 409.67 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Vivos (RDGL) Shares Outstanding (Diluted) (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Vivos' Shares Outstanding (Diluted) data covers 57 quarters.
- 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, 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 five-year range for quarterly Shares Outstanding (Diluted) is 343.91 million (Q2 2022) to 13.87 billion (Q1 2022).
- Year-over-year, Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- The fastest year-over-year change in 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 Shares Outstanding (Diluted) at 454.3 million (Q3 2025), 453.51 million (Q2 2025) and 448.23 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
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 | Vivos | 22.77 Mn | 13.09 Mn | -3,105.00 | 452.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 13.87 Bn |
| Mar 31, 2021 | 13.87 Bn |
API Access
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_KEYimport 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();