Vivos (RDGL) Total Liabilities (2009 - 2026)
Vivos' Total Liabilities came in at $253,195 for Q1 2026, up 113.9% from $118,378 a year earlier and up 22.5% from the prior quarter.
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Analysis
Vivos (RDGL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Vivos' Total Liabilities was $206,743, up 139.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $86,209 in FY2024 (-64.8%), $245,004 in FY2023 (+199.9%), $81,692 in FY2022 (-51.1%) and $166,915 in FY2021 (-81.6%).
- The Q1 2026 figure represents the highest quarterly Total Liabilities since Q3 2021.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 199.9%), and the weakest in Q1 2022 (a decline of 87.6%).
- Business Quant data shows RDGL's Total Liabilities at $206,743 (Q4 2025), $112,693 (Q3 2025) and $96,458 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Vivos | 19.77 Mn | 11.15 Mn | -1,720.00 | 123,955.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123,955.00 |
| Mar 31, 2026 | 253,195.00 |
| Dec 31, 2025 | 206,743.00 |
| Sep 30, 2025 | 112,693.00 |
| Jun 30, 2025 | 96,458.00 |
| Mar 31, 2025 | 118,378.00 |
| Dec 31, 2024 | 86,209.00 |
| Sep 30, 2024 | 48,820.00 |
| Jun 30, 2024 | 166,560.00 |
| Mar 31, 2024 | 74,766.00 |
| Dec 31, 2023 | 245,004.00 |
| Sep 30, 2023 | 107,369.00 |
| Jun 30, 2023 | 112,810.00 |
| Mar 31, 2023 | 48,989.00 |
| Dec 31, 2022 | 81,692.00 |
| Sep 30, 2022 | 160,953.00 |
| Jun 30, 2022 | 215,093.00 |
| Mar 31, 2022 | 85,515.00 |
| Dec 31, 2021 | 166,915.00 |
| Sep 30, 2021 | 619,392.00 |
API Access
Vivos Total Liabilities 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=total-liabilities&ticker=RDGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();