Vivos (RDGL) Return on Sales [ROS] (2009 - 2026)
Vivos (RDGL) posted Return on Sales [ROS] of -1512.40% for Q1 2026, up 1716.00 percentage points from -3228.40% a year earlier and up 2914.39 percentage points from the prior quarter.
Vivos (RDGL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Return on Sales [ROS] at Vivos was -3664.15%, up 2089.46 percentage points year-over-year; for FY2025, it was -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).
- The Q1 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2021.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +1542.68 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 -4426.79% (Q4 2025), -28260.94% (Q3 2025) and -4498.48% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Vivos | 19.77 Mn | 11.15 Mn | -1,720.00 | -1,798.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,798.16% |
| Mar 31, 2026 | -1,512.40% |
| 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% |
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_KEY
import 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();