Vivos (RDGL) Operating Margin (2010 - 2026)
Vivos (RDGL) recorded Operating Margin of -1512.40% in 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) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Vivos' Operating Margin came in at -3664.15% as of Mar 31, 2026, up 2089.46 percentage points year-over-year; for FY2025, it was -4628.68%, up 4674.35 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +4978.76 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -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 is the highest quarterly Operating Margin since Q3 2021.
- On a year-over-year basis, Operating Margin rose in four of the last seven quarters, with an average year-over-year change of +1609.55 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 10198.81 percentage points in Q2 2024, against a drop of 11398.04 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -4426.79% (Q4 2025), -28260.94% (Q3 2025) and -4498.48% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 17.44% |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 13.31% |
| 10 | Vivos | 19.77 Mn | 19.77 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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% |
| 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% |
| Sep 30, 2021 | -1,307.07% |
| Sep 30, 2020 | -1,834.86% |
| Dec 31, 2019 | -21,636.87% |
| Sep 30, 2019 | -7,590.09% |
Vivos Operating Margin 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=operating-margin&ticker=RDGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();