Vivos Therapeutics (VVOS) Return on Sales [ROS] (2020 - 2026)
Vivos Therapeutics' Return on Sales [ROS] came in at -93.63% for Q2 2026, up 33.72 percentage points from -127.36% a year earlier and up 35.04 percentage points from the prior quarter.
Vivos Therapeutics (VVOS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vivos Therapeutics reported Return on Sales [ROS] of -107.92%, down 9.03 percentage points year-over-year; for FY2025, it came in at -114.05%, down 39.73 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -21.90 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -74.32% in FY2024 (+51.00 pp), -125.32% in FY2023 (+30.89 pp), -156.21% in FY2022 (-35.50 pp) and -120.71% in FY2021 (-28.56 pp).
- The five-year range for quarterly Return on Sales [ROS] is -182.19% (Q1 2022) to -47.76% (Q2 2024).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -7.88 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 85.29 percentage points), and the weakest in Q4 2025 (a drop of 91.01 percentage points).
- Business Quant data shows VVOS's Return on Sales [ROS] at -128.67% (Q1 2026), -166.89% (Q4 2025) and -69.79% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Vivos Therapeutics | 2.18 Mn | -7.03 Mn | 2.95 Mn | -93.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -93.63% |
| Mar 31, 2026 | -128.67% |
| Dec 31, 2025 | -166.89% |
| Sep 30, 2025 | -69.79% |
| Jun 30, 2025 | -127.36% |
| Mar 31, 2025 | -129.91% |
| Dec 31, 2024 | -75.88% |
| Sep 30, 2024 | -68.52% |
| Jun 30, 2024 | -47.76% |
| Mar 31, 2024 | -110.70% |
| Dec 31, 2023 | -127.25% |
| Sep 30, 2023 | -110.27% |
| Jun 30, 2023 | -133.05% |
| Mar 31, 2023 | -129.76% |
| Dec 31, 2022 | -153.49% |
| Sep 30, 2022 | -127.34% |
| Jun 30, 2022 | -166.44% |
| Mar 31, 2022 | -182.19% |
| Dec 31, 2021 | -168.66% |
| Sep 30, 2021 | -121.05% |
Vivos Therapeutics 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=VVOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VVOS", "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=VVOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();