Vivos (RDGL) Operating Expenses (2010 - 2025)
Vivos' Operating Expenses was $1.09 million in Q4 2025, up 66.4% from $656,515 a year earlier and up 110.8% from the prior quarter.
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Analysis
Vivos (RDGL) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, Operating Expenses at Vivos came in at $3.11 million, up 19.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.6 million in FY2024 (-6.7%), $2.79 million in FY2023 (+10.4%), $2.53 million in FY2022 (+0.8%) and $2.5 million in FY2021 (+271.7%).
- The Q4 2025 figure marks the highest quarterly Operating Expenses since Q2 2021.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 22.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 230.2%); the worst was Q1 2023 (a decline of 67.4%).
- Per Business Quant data, RDGL's Operating Expenses in the three quarters before Q4 2025 was $518,208 (Q3 2025), $640,019 (Q2 2025) and $854,449 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Vivos | 22.77 Mn | 13.09 Mn | -3,105.00 | 1.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 518,208.00 |
| Jun 30, 2025 | 640,019.00 |
| Mar 31, 2025 | 854,449.00 |
| Dec 31, 2024 | 656,515.00 |
| Sep 30, 2024 | 844,226.00 |
| Jun 30, 2024 | 525,029.00 |
| Mar 31, 2024 | 575,629.00 |
| Dec 31, 2023 | 933,791.00 |
| Sep 30, 2023 | 694,633.00 |
| Jun 30, 2023 | 911,905.00 |
| Mar 31, 2023 | 246,782.00 |
| Dec 31, 2022 | 701,426.00 |
| Sep 30, 2022 | 270,530.00 |
| Jun 30, 2022 | 796,020.00 |
| Mar 31, 2022 | 757,493.00 |
| Dec 31, 2021 | 212,440.00 |
| Sep 30, 2021 | 203,470.00 |
| Jun 30, 2021 | 1.85 Mn |
| Mar 31, 2021 | 235,090.00 |
API Access
Vivos Operating Expenses 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-expenses&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();