Vystar (VYST) Total Non-Current Liabilities (2017 - 2026)
Vystar (VYST) reported Total Non-Current Liabilities of $7.21 million for Q2 2026, up 15.3% from $6.25 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Vystar (VYST) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Vystar posted Total Non-Current Liabilities of $6.56 million, up 18.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $5.54 million in FY2024 (+44.3%), $3.84 million in FY2023 (-30.4%), $5.51 million in FY2022 (-39.8%) and $9.16 million in FY2021 (-17.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 34.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2025 (growth of 118.3%); the low point was Q3 2024 (a decline of 71.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.91 million (Q1 2026), $6.56 million (Q4 2025) and $6.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Vystar | 1.97 Mn | 1.79 Mn | 7,288.00 | 7.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.21 Mn |
| Mar 31, 2026 | 6.91 Mn |
| Dec 31, 2025 | 6.56 Mn |
| Sep 30, 2025 | 6.37 Mn |
| Jun 30, 2025 | 6.25 Mn |
| Mar 31, 2025 | 6.05 Mn |
| Dec 31, 2024 | 5.54 Mn |
| Sep 30, 2024 | 2.92 Mn |
| Jun 30, 2024 | 3.63 Mn |
| Mar 31, 2024 | 3.66 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 10.13 Mn |
| Jun 30, 2023 | 10.90 Mn |
| Mar 31, 2023 | 11.19 Mn |
| Dec 31, 2022 | 5.51 Mn |
| Sep 30, 2022 | 5.84 Mn |
| Jun 30, 2022 | 8.18 Mn |
| Mar 31, 2022 | 8.50 Mn |
| Dec 31, 2021 | 9.16 Mn |
| Sep 30, 2021 | 10.47 Mn |
API Access
Vystar Total Non-Current 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-non-current-liabilities&ticker=VYST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();