Vivos (RDGL) EBITDA Margin (2010 - 2017)
Vivos' EBITDA Margin came in at -4628.14% for FY2025.
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Analysis
Vivos (RDGL) EBITDA Margin (2010 - 2017) Analysis & Trends
Going back to FY2010, Vivos' EBITDA Margin data covers 9 years.
- The FY2025 figure represents the highest annual EBITDA Margin since FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 31.93% |
| 10 | Vivos | 20.83 Mn | 11.14 Mn | -3,105.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 2,440.87% |
| Sep 30, 2016 | -16,420.23% |
| Jun 30, 2016 | -77,419.73% |
| Mar 31, 2016 | -9,423.29% |
| Sep 30, 2015 | -682.26% |
| Mar 31, 2015 | -1,242.44% |
| Jun 30, 2014 | -5,068.26% |
| Mar 31, 2014 | 18.27% |
| Sep 30, 2013 | -402.46% |
| Mar 31, 2013 | -4,042.96% |
| Dec 31, 2012 | -1,992.55% |
| Sep 30, 2012 | -1,560.27% |
| Jun 30, 2012 | -3,214.87% |
| Mar 31, 2012 | -1,242.95% |
| Dec 31, 2011 | -1,243.22% |
| Sep 30, 2011 | -679.34% |
| Jun 30, 2011 | -308.98% |
| Mar 31, 2011 | -369.38% |
| Dec 31, 2010 | -2,180.37% |
| Sep 30, 2010 | -673.97% |
API Access
Vivos EBITDA Margin 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=ebitda-margin&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();