Vivos (RDGL) Return on Sales [ROS] (2010 - 2025)
Vivos (RDGL) posted Return on Sales [ROS] of -4426.79% for Q4 2025, up 8822.46 percentage points from -13249.25% a year earlier and up 23834.15 percentage points from the prior quarter.
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Analysis
Vivos (RDGL) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For FY2025, Vivos' Return on Sales [ROS] came in at -4628.68%, up 4674.35 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4978.76 percentage points (FY2020 to FY2025).
- In prior years, Vivos' Return on Sales [ROS] was -9303.03% in FY2024 (+5020.79 pp), -14323.83% in FY2023 (-7425.69 pp), -6898.13% in FY2022 (+9907.12 pp) and -16805.25% in FY2021 (-7197.81 pp).
- Quarterly Return on Sales [ROS] has run from a low of -28260.94% in Q3 2025 to a high of -1307.07% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +242.37 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 10198.81 percentage points; the weakest was Q3 2025, with a drop of 11398.04 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -28260.94% (Q3 2025), -4498.48% (Q2 2025) and -3228.40% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Vivos | 18.22 Mn | 8.53 Mn | -3,105.00 | -4,426.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -4,426.79% |
| Sep 30, 2025 | -28,260.94% |
| Jun 30, 2025 | -4,498.48% |
| Mar 31, 2025 | -3,228.40% |
| Dec 31, 2024 | -13,249.25% |
| Sep 30, 2024 | -16,862.90% |
| Jun 30, 2024 | -3,868.96% |
| Mar 31, 2024 | -12,825.09% |
| Dec 31, 2023 | -14,323.83% |
| Sep 30, 2023 | -9,823.33% |
| Jun 30, 2023 | -14,067.77% |
| Mar 31, 2023 | -4,138.63% |
| Dec 31, 2022 | -10,857.87% |
| Sep 30, 2022 | -4,262.54% |
| Jun 30, 2022 | -7,500.36% |
| Mar 31, 2022 | -5,749.95% |
| Dec 31, 2021 | -11,430.52% |
| Sep 30, 2021 | -1,307.07% |
| Dec 31, 2020 | -4,075.88% |
| Sep 30, 2020 | -1,834.86% |
API Access
Vivos Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();