New Concept Energy (GBR) Gross Margin (2013 - 2015)
New Concept Energy's Gross Margin came in at 58.62% for Q2 2015, down 9.47 percentage points from 68.10% a year earlier but up 4.74 percentage points from the prior quarter.
New Concept Energy (GBR) Gross Margin (2013 - 2015) Analysis & Trends
Over the trailing twelve months to Jun 30, 2015, New Concept Energy reported Gross Margin of 66.05%, up 1.05 percentage points year-over-year; for FY2013, it came in at 99.99%.
- The five-year range for quarterly Gross Margin is -36376.19% (Q2 2013) to 68.10% (Q2 2014).
- Year-over-year, Gross Margin increased in two of the last four quarters, with an average year-over-year change of +9106.73 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 98.30% |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 46.23% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 9.74% |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 20.66% |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | -170.62% |
| 10 | New Concept Energy | 3,849.00 | -1.31 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 58.62% |
| Mar 31, 2015 | 53.88% |
| Sep 30, 2014 | 64.63% |
| Jun 30, 2014 | 68.10% |
| Mar 31, 2014 | 62.96% |
| Dec 31, 2013 | 62.16% |
| Sep 30, 2013 | 63.46% |
| Jun 30, 2013 | -36,376.19% |
New Concept Energy Gross 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=gross-margin&ticker=GBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "GBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=GBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();