Vivos (RDGL) Depreciation & Amortization (CF) (2009 - 2026)
Vivos (RDGL) posted Depreciation & Amortization (CF) of $9,961 for Q1 2026.
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Analysis
Vivos (RDGL) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2025, Vivos' Depreciation & Amortization (CF) came in at $374.00.
- The Q1 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) since Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 259.00 Mn |
| 10 | Vivos | 19.77 Mn | 11.15 Mn | -1,720.00 | 358.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.00 |
| Mar 31, 2026 | 9,961.00 |
| Jun 30, 2017 | 733.00 |
| Mar 31, 2017 | 740.00 |
| Dec 31, 2016 | 734.00 |
| Sep 30, 2016 | 738.00 |
| Jun 30, 2016 | 737.00 |
| Mar 31, 2016 | 738.00 |
| Dec 31, 2015 | 738.00 |
| Sep 30, 2015 | 936.00 |
| Jun 30, 2015 | 1,329.00 |
| Mar 31, 2015 | 1,330.00 |
| Dec 31, 2014 | 1,540.00 |
| Sep 30, 2014 | 1,540.00 |
| Jun 30, 2014 | 1,540.00 |
| Mar 31, 2014 | 1,540.00 |
| Dec 31, 2013 | 1,540.00 |
| Sep 30, 2013 | 1,803.00 |
| Jun 30, 2013 | 83,453.00 |
| Mar 31, 2013 | 112,947.00 |
API Access
Vivos Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();