Vivos (RDGL) Depreciation and Depletion (2009 - 2026)
Vivos' Depreciation and Depletion came in at $9,961 for Q1 2026.
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Analysis
Vivos (RDGL) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For FY2025, Vivos' Depreciation and Depletion was $374.00.
- The Q1 2026 figure represents the highest quarterly Depreciation and Depletion since Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 317.00 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 | 128.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 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 and Depletion 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-depletion&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();