Vivos Therapeutics (VVOS) Net Long-Term Debt Issued (Repaid) (2020 - 2026)
Vivos Therapeutics (VVOS) recorded Net Long-Term Debt Issued (Repaid) of $1.61 million in Q2 2026, up 16.2% from the prior quarter.
Powered by 
Analysis
Vivos Therapeutics (VVOS) Net Long-Term Debt Issued (Repaid) (2020 - 2026) Analysis & Trends
On a TTM basis, Vivos Therapeutics' Net Long-Term Debt Issued (Repaid) came in at $4.02 million as of Jun 30, 2026; for FY2025, it came in at $10.65 million.
- Annual Net Long-Term Debt Issued (Repaid) has a five-year compound annual growth rate of 55.0% (FY2020 to FY2025).
- Across earlier years, Net Long-Term Debt Issued (Repaid) came in at -$25,000 in FY2021.
- Per Business Quant, the preceding three quarters came in at $1.39 million (Q1 2026), $1.44 million (Q4 2025) and -$417,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | - |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Vivos Therapeutics | 1.68 Mn | -7.36 Mn | 2.95 Mn | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Mn |
| Mar 31, 2026 | 1.39 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | -417,000.00 |
| Mar 31, 2021 | -25,000.00 |
| Dec 31, 2020 | -67.00 |
API Access
Vivos Therapeutics Net Long-Term Debt Issued (Repaid) 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-debt&ticker=VVOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=VVOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();