New Concept Energy (GBR) Cost of Revenue (2013 - 2015)
New Concept Energy (GBR) reported Cost of Revenue of $415,000 for Q2 2015, up 7.2% from $387,000 a year earlier and up 1.2% from the prior quarter.
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Analysis
New Concept Energy (GBR) Cost of Revenue (2013 - 2015) Analysis & Trends
Over the twelve months ended Jun 30, 2015, New Concept Energy's Cost of Revenue came in at $1.61 million, up 39.5% year-over-year; for FY2013, it came in at $386.00.
- The Q2 2015 figure ranks as the highest quarterly Cost of Revenue in data going back to Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 1.13 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 85.41 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 797.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 322.90 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 37.62 Mn |
| 10 | New Concept Energy | 3,900.32 | -1.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 415,000.00 |
| Mar 31, 2015 | 410,000.00 |
| Sep 30, 2014 | 400,000.00 |
| Jun 30, 2014 | 387,000.00 |
| Mar 31, 2014 | 396,000.00 |
| Dec 31, 2013 | 386.00 |
| Sep 30, 2013 | 372,000.00 |
| Jun 30, 2013 | 383,000.00 |
API Access
New Concept Energy Cost of Revenue 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=cost-of-revenue&ticker=GBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();