Mineralrite (RITE) Selling, General & Administrative (2009 - 2014)
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Analysis
Mineralrite (RITE) Selling, General & Administrative (2009 - 2014) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 396,689.00 |
| Jun 30, 2014 | 394,061.00 |
| Mar 31, 2014 | 402,043.00 |
| Dec 31, 2013 | 331,705.00 |
| Sep 30, 2013 | 386,015.00 |
| Jun 30, 2013 | 320,823.00 |
| Mar 31, 2013 | 150,579.00 |
| Dec 31, 2012 | 28,710.00 |
| Sep 30, 2012 | 6,175.00 |
| Jun 30, 2012 | 3,984.00 |
| Mar 31, 2012 | 4,932.00 |
| Dec 31, 2011 | -1,186.00 |
| Sep 30, 2011 | -4,018.00 |
| Jun 30, 2011 | 23,266.00 |
| Mar 31, 2011 | 5,391.00 |
| Dec 31, 2010 | -29,986.00 |
| Sep 30, 2010 | 7,330.00 |
| Jun 30, 2010 | 32,570.00 |
| Mar 31, 2010 | 7,317.00 |
| Dec 31, 2009 | 29,527.00 |
API Access
Mineralrite 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=RITE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RITE", "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=RITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();