Vivos (RDGL) Return on Capital Employed [ROCE] (2021 - 2026)
Vivos' Return on Capital Employed [ROCE] came in at -127.25% for Q1 2026, down 18.26 percentage points from -108.99% a year earlier but up 33.94 percentage points from the prior quarter.
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Analysis
Vivos (RDGL) Return on Capital Employed [ROCE] (2021 - 2026) 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 five-year range for quarterly Return on Capital Employed [ROCE] is -219.63% (Q1 2024) to -103.43% (Q2 2025).
- Year-over-year, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +28.44 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 -161.19% (Q4 2025), -112.73% (Q3 2025) and -103.43% (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Vivos | 19.77 Mn | 11.15 Mn | -1,720.00 | -98.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -98.66% |
| Mar 31, 2026 | -127.25% |
| 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% |
API Access
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_KEYimport 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();