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 | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Vivos | 22.77 Mn | 13.09 Mn | -3,105.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -136,906.00 |
| Jun 30, 2018 | -341,900.00 |
| Mar 31, 2018 | -286,694.00 |
| Dec 31, 2017 | -671,229.00 |
| Sep 30, 2017 | -961,799.00 |
| Jun 30, 2017 | -618,438.00 |
| Mar 31, 2017 | -363,975.00 |
| Dec 31, 2016 | 132,060.00 |
| Sep 30, 2016 | -665,676.00 |
| Jun 30, 2016 | -3.22 Mn |
| Mar 31, 2016 | -681,793.00 |
| Dec 31, 2015 | -1.09 Mn |
| Sep 30, 2015 | -292,875.00 |
| Jun 30, 2015 | -329,732.00 |
| Mar 31, 2015 | -326,144.00 |
| Dec 31, 2014 | -380,921.00 |
| Sep 30, 2014 | -490,324.00 |
| Jun 30, 2014 | -529,088.00 |
| Mar 31, 2014 | -542,695.00 |
| Dec 31, 2013 | -408,663.00 |
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();