Mineralrite (RITE) Assets (2010 - 2026)
Analysis
Mineralrite (RITE) Assets (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 246.41 Mn |
| Jun 30, 2026 | 247.72 Mn |
| Dec 31, 2025 | 247.83 Mn |
| Sep 30, 2025 | 432.30 Mn |
| Jun 30, 2025 | 432.34 Mn |
| Mar 31, 2025 | 432.28 Mn |
| Dec 31, 2024 | 432.26 Mn |
| Mar 31, 2024 | 360,538.00 |
| Sep 30, 2014 | 1.51 Mn |
| Jun 30, 2014 | 1.76 Mn |
| Mar 31, 2014 | 2.04 Mn |
| Dec 31, 2013 | 2.23 Mn |
| Sep 30, 2013 | 3.83 Mn |
| Jun 30, 2013 | 4.06 Mn |
| Mar 31, 2013 | 4.19 Mn |
| Dec 31, 2012 | 778,413.00 |
| Sep 30, 2012 | 402,589.00 |
| Jun 30, 2012 | 439,710.00 |
| Mar 31, 2012 | 479,678.00 |
| Dec 31, 2011 | 600,876.00 |
API Access
Mineralrite Assets 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=assets&ticker=RITE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();