Graphene & Solar Technologies (GSTX) Operating Margin (2011 - 2014)
Graphene & Solar Technologies (GSTX) posted Operating Margin of -162.37% for fiscal Q2 2014 (quarter ended Mar 31, 2014), down 186.09 percentage points from 23.73% a year earlier.
Graphene & Solar Technologies (GSTX) Operating Margin (2011 - 2014) Analysis & Trends
For FY2012 (ended Sep 30, 2012), Graphene & Solar Technologies' Operating Margin came in at 3.68%, down 13.72 percentage points from FY2011.
- In prior fiscal years, Graphene & Solar Technologies' Operating Margin was 17.39% in FY2011.
- The fiscal Q2 2014 figure stands as the lowest quarterly Operating Margin in data going back to fiscal Q2 2011.
- On a year-over-year basis, Operating Margin increased in 1 of the last five quarters, with an average year-over-year change of -56.37 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 16.48% |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 6.29% |
| 10 | Graphene & Solar Technologies | 77.23 Mn | 76.94 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | -162.37% |
| Mar 31, 2013 | 23.73% |
| Dec 31, 2012 | 22.51% |
| Sep 30, 2012 | -0.58% |
| Jun 30, 2012 | -17.59% |
| Mar 31, 2012 | 10.58% |
| Dec 31, 2011 | 25.20% |
| Sep 30, 2011 | 31.70% |
| Jun 30, 2011 | 56.32% |
| Mar 31, 2011 | -57.11% |
Graphene & Solar Technologies Operating Margin 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-margin&ticker=GSTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "GSTX", "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-margin&ticker=GSTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();