Mineralrite (RITE) Interest Expenses (2010 - 2014)
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Analysis
Mineralrite (RITE) Interest Expenses (2010 - 2014) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 3.23 Mn |
| Jun 30, 2014 | 1.06 Mn |
| Mar 31, 2014 | 276,801.00 |
| Dec 31, 2013 | -19,202.00 |
| Sep 30, 2013 | 174,865.00 |
| Jun 30, 2013 | 136,426.00 |
| Mar 31, 2013 | 604.00 |
| Sep 30, 2012 | 3,291.00 |
| Jun 30, 2012 | 12,751.00 |
| Mar 31, 2012 | 12,475.00 |
| Dec 31, 2011 | 11,861.00 |
| Sep 30, 2011 | 11,928.00 |
| Jun 30, 2011 | 11,822.00 |
| Mar 31, 2011 | -11,265.00 |
| Dec 31, 2010 | -21,943.00 |
| Sep 30, 2010 | -6,233.00 |
| Jun 30, 2010 | -6,244.00 |
API Access
Mineralrite Interest Expenses 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=interest-expenses&ticker=RITE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();