Vystar (VYST) Amortizatization of Intangibles (2010 - 2026)
Vystar (VYST) posted Amortizatization of Intangibles of $4,008 for Q2 2026, down 49.5% from $7,929 a year earlier and unchanged from the prior quarter.
Vystar (VYST) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Vystar was $16,810, down 47.0% year-over-year; for FY2025, it came in at $24,652, down 22.3% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of -43.2% (FY2020 to FY2025).
- In prior years, Vystar's Amortizatization of Intangibles was $31,716 in FY2024 (unchanged), $31,716 in FY2023 (-90.8%), $345,249 in FY2022 (-10.1%) and $384,250 in FY2021 (-7.8%).
- Quarterly Amortizatization of Intangibles has run from a low of $4,008 in Q4 2025 to a high of $96,280 in Q4 2021 over five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last four quarters, with an average decline of 23.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Amortizatization of Intangibles ran from 0.0% in Q2 2025 to 90.8% in Q4 2023.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $4,008 (Q1 2026), $4,008 (Q4 2025) and $4,786 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | - |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 23.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 87.90 Mn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 50.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | - |
| 10 | Vystar | 2.22 Mn | 2.04 Mn | 7,288.00 | 4,008.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,008.00 |
| Mar 31, 2026 | 4,008.00 |
| Dec 31, 2025 | 4,008.00 |
| Sep 30, 2025 | 4,786.00 |
| Jun 30, 2025 | 7,929.00 |
| Mar 31, 2025 | 7,929.00 |
| Dec 31, 2024 | 7,929.00 |
| Sep 30, 2024 | 7,929.00 |
| Jun 30, 2024 | 7,929.00 |
| Mar 31, 2024 | 7,929.00 |
| Dec 31, 2023 | 7,929.00 |
| Sep 30, 2023 | 7,929.00 |
| Jun 30, 2023 | 7,929.00 |
| Mar 31, 2023 | 7,929.00 |
| Dec 31, 2022 | 86,313.00 |
| Sep 30, 2022 | 86,312.00 |
| Jun 30, 2022 | 86,312.00 |
| Mar 31, 2022 | 86,312.00 |
| Dec 31, 2021 | 96,280.00 |
| Sep 30, 2021 | 95,990.00 |
Vystar Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=VYST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();