Vystar (VYST) Operating Expenses (2010 - 2026)
Vystar's Operating Expenses came in at $174,175 for Q2 2026, down 36.4% from $273,784 a year earlier and down 38.0% from the prior quarter.
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Analysis
Vystar (VYST) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vystar reported Operating Expenses of $931,591, down 41.1% year-over-year; for FY2025, it came in at $1.09 million, down 31.2% from FY2024.
- Operating Expenses has declined in each of the last five years, with a five-year compound annual growth rate of -41.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.59 million in FY2024 (-17.5%), $1.92 million in FY2023 (-24.8%), $2.56 million in FY2022 (-28.0%) and $3.55 million in FY2021 (-77.5%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2021.
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with an average decline of 22.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 3.3%), and the weakest in Q1 2022 (a decline of 90.0%).
- Business Quant data shows VYST's Operating Expenses at $281,122 (Q1 2026), $213,953 (Q4 2025) and $262,341 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Vystar | 1.97 Mn | 1.79 Mn | 7,288.00 | 174,175.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174,175.00 |
| Mar 31, 2026 | 281,122.00 |
| Dec 31, 2025 | 213,953.00 |
| Sep 30, 2025 | 262,341.00 |
| Jun 30, 2025 | 273,784.00 |
| Mar 31, 2025 | 342,277.00 |
| Dec 31, 2024 | 670,883.00 |
| Sep 30, 2024 | 293,766.00 |
| Jun 30, 2024 | 265,146.00 |
| Mar 31, 2024 | 357,425.00 |
| Dec 31, 2023 | 848,012.00 |
| Sep 30, 2023 | 373,464.00 |
| Jun 30, 2023 | 319,150.00 |
| Mar 31, 2023 | 383,926.00 |
| Dec 31, 2022 | 847,556.00 |
| Sep 30, 2022 | 521,005.00 |
| Jun 30, 2022 | 606,248.00 |
| Mar 31, 2022 | 583,900.00 |
| Dec 31, 2021 | -11.03 Mn |
| Sep 30, 2021 | 3.68 Mn |
API Access
Vystar Operating Expenses 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=operating-expenses&ticker=VYST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();