Vystar (VYST) Total Liabilities (2010 - 2026)
Vystar's Total Liabilities came in at $7.67 million for Q2 2026, up 16.2% from $6.61 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Vystar (VYST) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vystar's Total Liabilities was $6.99 million, up 19.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -25.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $5.84 million in FY2024 (-40.1%), $9.75 million in FY2023 (-21.1%), $12.36 million in FY2022 (-45.7%) and $22.76 million in FY2021 (-22.6%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q3 2024.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 11.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2025 (growth of 19.7%), and the weakest in Q1 2023 (a decline of 50.5%).
- Business Quant data shows VYST's Total Liabilities at $7.34 million (Q1 2026), $6.99 million (Q4 2025) and $6.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Vystar | 1.97 Mn | 1.79 Mn | 7,288.00 | 7.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.67 Mn |
| Mar 31, 2026 | 7.34 Mn |
| Dec 31, 2025 | 6.99 Mn |
| Sep 30, 2025 | 6.73 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 6.38 Mn |
| Dec 31, 2024 | 5.84 Mn |
| Sep 30, 2024 | 10.64 Mn |
| Jun 30, 2024 | 10.33 Mn |
| Mar 31, 2024 | 10.06 Mn |
| Dec 31, 2023 | 9.75 Mn |
| Sep 30, 2023 | 10.31 Mn |
| Jun 30, 2023 | 11.07 Mn |
| Mar 31, 2023 | 11.36 Mn |
| Dec 31, 2022 | 12.36 Mn |
| Sep 30, 2022 | 15.17 Mn |
| Jun 30, 2022 | 21.46 Mn |
| Mar 31, 2022 | 22.95 Mn |
| Dec 31, 2021 | 22.76 Mn |
| Sep 30, 2021 | 22.90 Mn |
API Access
Vystar 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=VYST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VYST", "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=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();