Vivos (RDGL) EBITDA (2010 - 2018)
Vivos (RDGL) reported EBITDA of -$3.16 million for FY2025.
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Analysis
Vivos (RDGL) EBITDA (2010 - 2018) Analysis & Trends
Dating back to FY2010, Vivos' EBITDA record includes 9 years.
- The FY2025 figure ranks as the highest annual EBITDA since FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Vivos | 20.83 Mn | 11.14 Mn | -3,105.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -136,907.00 |
| Jun 30, 2018 | -114,827.00 |
| Mar 31, 2018 | 278,171.00 |
| Dec 31, 2017 | -121,290.00 |
| Sep 30, 2017 | -446,093.00 |
| Jun 30, 2017 | -123,867.00 |
| Mar 31, 2017 | 98,953.00 |
| Dec 31, 2016 | 356,812.00 |
| Sep 30, 2016 | -665,676.00 |
| Jun 30, 2016 | -3.14 Mn |
| Mar 31, 2016 | -382,020.00 |
| Dec 31, 2015 | -569,527.00 |
| Sep 30, 2015 | -82,240.00 |
| Jun 30, 2015 | -153,289.00 |
| Mar 31, 2015 | -149,764.00 |
| Dec 31, 2014 | -1.54 Mn |
| Sep 30, 2014 | 43,017.00 |
| Jun 30, 2014 | -509,563.00 |
| Mar 31, 2014 | 2,568.00 |
| Dec 31, 2013 | -227,333.00 |
API Access
Vivos EBITDA 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&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();