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 | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | Vivos | 22.77 Mn | 13.09 Mn | -3,105.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | -8,978.17% |
| Sep 30, 2016 | -16,420.23% |
| Jun 30, 2016 | -79,381.18% |
| Mar 31, 2016 | -16,817.78% |
| Sep 30, 2015 | -2,429.69% |
| Mar 31, 2015 | -2,705.69% |
| Jun 30, 2014 | -5,262.46% |
| Mar 31, 2014 | -3,861.50% |
| Sep 30, 2013 | -419.32% |
| Mar 31, 2013 | -5,528.23% |
| Dec 31, 2012 | -2,135.54% |
| Sep 30, 2012 | -3,338.04% |
| Jun 30, 2012 | -3,277.72% |
| Mar 31, 2012 | -1,289.45% |
| Dec 31, 2011 | -1,286.20% |
| Sep 30, 2011 | -698.33% |
| Jun 30, 2011 | -310.91% |
| Mar 31, 2011 | -385.72% |
| Dec 31, 2010 | -2,282.34% |
| Sep 30, 2010 | -771.04% |
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();