Mineralrite (RITE) Operating Expenses (2010 - 2026)
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Analysis
Mineralrite (RITE) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140,159.00 |
| Jun 30, 2026 | 184,745.00 |
| Dec 31, 2025 | 198,911.00 |
| Sep 30, 2025 | 75,272.00 |
| Jun 30, 2025 | 78,948.00 |
| Mar 31, 2025 | 81,688.00 |
| Dec 31, 2024 | 64,226.00 |
| Sep 30, 2024 | 58,176.00 |
| Jun 30, 2024 | 178,036.00 |
| Mar 31, 2024 | 71,176.00 |
| Sep 30, 2014 | 524,832.00 |
| Jun 30, 2014 | 497,935.00 |
| Mar 31, 2014 | 464,153.00 |
| Dec 31, 2013 | 404,208.00 |
| Sep 30, 2013 | 468,997.00 |
| Jun 30, 2013 | 417,680.00 |
| Mar 31, 2013 | 241,408.00 |
| Dec 31, 2012 | -153,257.00 |
| Sep 30, 2012 | 113,110.00 |
| Jun 30, 2012 | 81,011.00 |
API Access
Mineralrite Operating 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=operating-expenses&ticker=RITE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();