MINERALRITE Corp (RITE) Return on Sales [ROS] (2010 - 2024)
Mineralrite's Return on Sales [ROS] came in at -7332.32% for FY2024.
Analysis
MINERALRITE Corp (RITE) Return on Sales [ROS] (2010 - 2024) Analysis & Trends
Going back to FY2010, Mineralrite's Return on Sales [ROS] data covers 5 years.
- The FY2024 figure represents the highest annual Return on Sales [ROS] in data going back to FY2010.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -7,332.28% |
| Sep 30, 2014 | -197.44% |
| Jun 30, 2014 | -371.84% |
| Mar 31, 2014 | -802.42% |
| Dec 31, 2013 | -1,036.28% |
| Sep 30, 2013 | -278.25% |
| Jun 30, 2013 | -246.06% |
| Mar 31, 2013 | -295.51% |
| Dec 31, 2012 | 6.45% |
| Sep 30, 2012 | -125.31% |
| Jun 30, 2012 | -69.91% |
| Mar 31, 2012 | -143.09% |
| Dec 31, 2011 | -75.40% |
| Sep 30, 2011 | -94.24% |
| Jun 30, 2011 | -24.63% |
| Mar 31, 2011 | -66.38% |
| Dec 31, 2010 | -120.51% |
| Sep 30, 2010 | -28.85% |
| Jun 30, 2010 | -44.51% |
API Access
MINERALRITE Corp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RITE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();