Vivos Therapeutics (VVOS) Non-Current Assets (2019 - 2026)
Vivos Therapeutics (VVOS) recorded Non-Current Assets of $19.93 million in Q2 2026, up 3.3% from $19.3 million a year earlier but down 1.4% from the prior quarter.
Vivos Therapeutics (VVOS) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Vivos Therapeutics reported Non-Current Assets of $20.77 million, up 165.9% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $7.81 million in FY2024 (-5.5%), $8.27 million in FY2023 (-0.3%), $8.3 million in FY2022 (+30.3%) and $6.37 million in FY2021 (+29.0%).
- Quarterly Non-Current Assets has ranged from $6.37 million in Q4 2021 to $20.77 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for five consecutive quarters, with growth averaging 76.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 165.9% in Q4 2025, against a decline of 6.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.22 million (Q1 2026), $20.77 million (Q4 2025) and $19.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Vivos Therapeutics | 1.68 Mn | -7.36 Mn | 2.95 Mn | 19.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.93 Mn |
| Mar 31, 2026 | 20.22 Mn |
| Dec 31, 2025 | 20.77 Mn |
| Sep 30, 2025 | 19.86 Mn |
| Jun 30, 2025 | 19.30 Mn |
| Mar 31, 2025 | 7.68 Mn |
| Dec 31, 2024 | 7.81 Mn |
| Sep 30, 2024 | 7.95 Mn |
| Jun 30, 2024 | 7.99 Mn |
| Mar 31, 2024 | 8.19 Mn |
| Dec 31, 2023 | 8.27 Mn |
| Sep 30, 2023 | 8.33 Mn |
| Jun 30, 2023 | 8.41 Mn |
| Mar 31, 2023 | 8.39 Mn |
| Dec 31, 2022 | 8.30 Mn |
| Sep 30, 2022 | 8.70 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 7.96 Mn |
| Dec 31, 2021 | 6.37 Mn |
| Sep 30, 2021 | 6.99 Mn |
Vivos Therapeutics Non-Current Assets 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=non-current-assets&ticker=VVOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "VVOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=VVOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();