1D
-3.94%
-1.2%
1W
-3.29%
4.52%
1M
17.77%
-1.2%
YTD
-7.49%
-10.08%
1Y
1160.46%
3.77%
3Y
14045.2%
28.08%
5Y
41605.53%
54.53%
10Y
41036.82%
210.58%
- Stock Absolute Returns
- India SENSEXAbsolute Returns
Total Returns (Price + Dividend) 
Dividend Yield (0%)
TimePeriod
Price Return
Dividend Return
Total Return
3 Months
10.97%
0%
10.97%
6 Months
87.49%
0%
87.49%
1 Year
1160.46%
0%
1160.46%
2 Years
28323.68%
0%
28323.68%
3 Years
14045.2%
0%
14045.2%
4 Years
0%
0%
0.0%
5 Years
41605.53%
0%
41605.53%
Midwest Gold for the last several years.
What is a Quartile?
Quartile analysis gives a quick view of the performance of the stock with its peers and with the overall market. Companies are bucketed in 4 Quartiles as per their total returns generated; with each quartile consisting of 25% of the companies in the category.
Example: If there are 20 companies in an industry, the top 5 return giving companies would be bucketed in 1st quartile, next 5 companies in 2nd quartile and so on
Return Quartiles - by Closest Peers 
Consistent Winner
Midwest Gold Ltd has been in the First Quartile in the last 1 year and longer periods
4
Quartile
QTD
-9.53%
1
Quartile
Dec-Mar
4.72%
1
Quartile
Sep-Dec
79.71%
1
Quartile
1Y
1190.86%
1
Quartile
2025
4284.02%
1
Quartile
2024
379.05%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Industry 
Consistent Winner
Midwest Gold Ltd has been in the First Quartile in the last 1 year and longer periods
4
Quartile
QTD
-9.53%
1
Quartile
Dec-Mar
4.72%
1
Quartile
Sep-Dec
79.71%
1
Quartile
1Y
1190.86%
1
Quartile
2025
4284.02%
1
Quartile
2024
379.05%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Market Cap 
Consistent Winner
Midwest Gold Ltd has been in the First Quartile in the last 1 year and longer periods
4
Quartile
QTD
-9.53%
1
Quartile
Dec-Mar
4.72%
1
Quartile
Sep-Dec
79.71%
1
Quartile
1Y
1190.86%
1
Quartile
2025
4284.02%
1
Quartile
2024
379.05%
Click on any of the quartiles for detailed breakdown
Risk Adjusted Returns v/s 
Returns Beta
Beta has not been calculated since enough price history is not available






