Vivos (RDGL) Property, Plant & Equipment (Net) (2010 - 2025)
Vivos (RDGL) posted Property, Plant & Equipment (Net) of $102,811 for Q4 2025.
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Analysis
Vivos (RDGL) Property, Plant & Equipment (Net) (2010 - 2025) Analysis & Trends
Since Q4 2010, Vivos has reported Property, Plant & Equipment (Net) for 26 quarters.
- The Q4 2025 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q1 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Vivos | 22.77 Mn | 13.09 Mn | -3,105.00 | 102,811.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 102,811.00 |
| Mar 31, 2017 | 733.00 |
| Dec 31, 2016 | 1,473.00 |
| Sep 30, 2016 | 2,207.00 |
| Jun 30, 2016 | 2,945.00 |
| Mar 31, 2016 | 3,682.00 |
| Dec 31, 2015 | 4,420.00 |
| Sep 30, 2015 | 5,158.00 |
| Jun 30, 2015 | 6,094.00 |
| Mar 31, 2015 | 7,423.00 |
| Dec 31, 2014 | 8,753.00 |
| Sep 30, 2014 | 10,293.00 |
| Jun 30, 2014 | 11,833.00 |
| Mar 31, 2014 | 13,373.00 |
| Dec 31, 2013 | 14,913.00 |
| Sep 30, 2013 | 16,453.00 |
| Jun 30, 2013 | 18,256.00 |
| Mar 31, 2013 | 116,459.00 |
| Dec 31, 2012 | 214,656.00 |
| Sep 30, 2012 | 312,984.00 |
API Access
Vivos Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();