Vivos (RDGL) Return on Capital Employed [ROCE] (2021 - 2025)
Vivos' Return on Capital Employed [ROCE] came in at -161.19% for Q4 2025, down 3.61 percentage points from -157.59% a year earlier and down 48.46 percentage points from the prior quarter.
Vivos (RDGL) Return on Capital Employed [ROCE] (2021 - 2025) Analysis & Trends
For FY2025, Vivos' Return on Capital Employed [ROCE] was -163.77%, down 21.89 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +59.80 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -141.88% in FY2024 (+53.25 pp), -195.13% in FY2023 (-38.44 pp), -156.69% in FY2022 (+66.88 pp) and -223.57% in FY2021.
- The Q4 2025 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year-over-year, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +19.51 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2025 (a gain of 110.64 percentage points), and the weakest in Q1 2022 (a drop of 141.92 percentage points).
- Business Quant data shows RDGL's Return on Capital Employed [ROCE] at -112.73% (Q3 2025), -103.43% (Q2 2025) and -108.99% (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Vivos | 18.22 Mn | 8.53 Mn | -3,105.00 | -161.19% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -161.19% |
| Sep 30, 2025 | -112.73% |
| Jun 30, 2025 | -103.43% |
| Mar 31, 2025 | -108.99% |
| Dec 31, 2024 | -157.59% |
| Sep 30, 2024 | -197.88% |
| Jun 30, 2024 | -193.68% |
| Mar 31, 2024 | -219.63% |
| Dec 31, 2023 | -207.93% |
| Sep 30, 2023 | -162.73% |
| Jun 30, 2023 | -141.81% |
| Mar 31, 2023 | -129.96% |
| Dec 31, 2022 | -138.89% |
| Sep 30, 2022 | -143.38% |
| Jun 30, 2022 | -196.20% |
| Mar 31, 2022 | -217.54% |
| Dec 31, 2021 | -149.62% |
| Sep 30, 2021 | -169.77% |
| Jun 30, 2021 | -142.05% |
| Mar 31, 2021 | -75.62% |
Vivos Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=RDGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();