Vystar (VYST) Selling, General & Administrative (2010 - 2019)
Vystar (VYST) reported Selling, General & Administrative of $3.87 million for Q3 2019, up 710.4% from $477,705 a year earlier and up 304.8% from the prior quarter.
Vystar (VYST) Selling, General & Administrative (2010 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Vystar's Selling, General & Administrative came in at $7.52 million, up 132.5% year-over-year; for FY2018, it was $3.67 million, up 226.2% from FY2017.
- By year, Selling, General & Administrative came in at $1.13 million in FY2017.
- The Q3 2019 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year over year, Selling, General & Administrative has now increased in each of the last seven quarters, with growth averaging 239.4% over the last seven quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2019 (growth of 710.4%); the low point was Q3 2015 (a decline of 39.3%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $956,233 (Q2 2019), $2 million (Q1 2019) and $700,692 (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Vystar | 2.22 Mn | 2.04 Mn | 7,288.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 3.87 Mn |
| Jun 30, 2019 | 956,233.00 |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | 700,692.00 |
| Sep 30, 2018 | 477,705.00 |
| Jun 30, 2018 | 729,510.00 |
| Mar 31, 2018 | 1.76 Mn |
| Dec 31, 2017 | 265,049.00 |
| Sep 30, 2017 | 331,807.00 |
| Jun 30, 2017 | 255,811.00 |
| Mar 31, 2017 | 280,817.00 |
| Sep 30, 2016 | 247,422.00 |
| Jun 30, 2016 | 316,638.00 |
| Mar 31, 2016 | 313,582.00 |
| Sep 30, 2015 | 210,670.00 |
| Jun 30, 2015 | 316,025.00 |
| Mar 31, 2015 | 421,945.00 |
| Sep 30, 2014 | 347,313.00 |
| Jun 30, 2014 | 367,795.00 |
| Mar 31, 2014 | 323,703.00 |
Vystar Selling, General & Administrative 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=selling-general-and-administrative&ticker=VYST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VYST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();