Vystar (VYST) Return on Sales [ROS] (2010 - 2026)
Vystar's Return on Sales [ROS] was -2148.67% in Q2 2026, up 153.55 percentage points from -2302.21% a year earlier and up 2355.16 percentage points from the prior quarter.
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Analysis
Vystar (VYST) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vystar's Return on Sales [ROS] was -2021.69% through Jun 30, 2026, down 205.69 percentage points year-over-year; for FY2025, it was -1934.55%, down 818.43 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1911.46 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -1116.12% in FY2024 (-823.29 pp), -292.83% in FY2023 (+2236.41 pp), -2529.24% in FY2022 (-2301.83 pp) and -227.42% in FY2021 (-204.33 pp).
- Quarterly Return on Sales [ROS] has moved between -9342.52% (Q4 2024) and -12.37% (Q1 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -413.71 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 7294.19 percentage points); the worst was Q4 2024 (a drop of 4821.41 percentage points).
- Per Business Quant data, VYST's Return on Sales [ROS] in the three quarters before Q2 2026 was -4503.82% (Q1 2026), -2048.33% (Q4 2025) and -1211.56% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Vystar | 2.22 Mn | 2.04 Mn | 7,288.00 | -2,148.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,148.67% |
| Mar 31, 2026 | -4,503.82% |
| Dec 31, 2025 | -2,048.33% |
| Sep 30, 2025 | -1,211.56% |
| Jun 30, 2025 | -2,302.21% |
| Mar 31, 2025 | -2,670.22% |
| Dec 31, 2024 | -9,342.52% |
| Sep 30, 2024 | -485.49% |
| Jun 30, 2024 | -656.73% |
| Mar 31, 2024 | -896.74% |
| Dec 31, 2023 | -4,521.11% |
| Sep 30, 2023 | -528.08% |
| Jun 30, 2023 | -799.80% |
| Mar 31, 2023 | -12.37% |
| Dec 31, 2022 | -2,529.24% |
| Sep 30, 2022 | -1,469.22% |
| Jun 30, 2022 | -1,294.85% |
| Mar 31, 2022 | -403.66% |
| Dec 31, 2021 | -227.42% |
| Sep 30, 2021 | -38.07% |
API Access
Vystar Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VYST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();