1D
0.19%
0.41%
1W
-0.69%
-0.11%
1M
-0.6%
2.58%
YTD
-6.36%
9.57%
1Y
-10.92%
4.71%
3Y
1523.93%
36.25%
5Y
7291.49%
89.92%
10Y
30643.36%
233.93%
- Stock Absolute Returns
- Absolute Returns
Total Returns (Price + Dividend) 
Dividend Yield (0%)
TimePeriod
Price Return
Dividend Return
Total Return
3 Months
-4.1%
0%
-4.1%
6 Months
-9.77%
0%
-9.77%
1 Year
-10.92%
0%
-10.92%
2 Years
-13.69%
0%
-13.69%
3 Years
1523.93%
0%
1523.93%
4 Years
1759.99%
0%
1759.99%
5 Years
7291.49%
20.24%
7311.73%
Latest dividend: 1 per share ex-dividend date: Sep-20-2021
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 
Inconsistent Performance
SG Mart Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-3.8%
2
Quartile
Jun-Sep
0.07%
3
Quartile
Mar-Jun
11.41%
2
Quartile
YTD
-11.09%
4
Quartile
2024
-20.55%
1
Quartile
2023
2120.41%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Industry 
Inconsistent Performance
SG Mart Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-3.8%
2
Quartile
Jun-Sep
0.07%
3
Quartile
Mar-Jun
11.41%
2
Quartile
YTD
-11.09%
4
Quartile
2024
-20.55%
1
Quartile
2023
2120.41%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Market Cap 
Inconsistent Performance
SG Mart Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-3.8%
2
Quartile
Jun-Sep
0.07%
3
Quartile
Mar-Jun
11.41%
2
Quartile
YTD
-11.09%
4
Quartile
2024
-20.55%
1
Quartile
2023
2120.41%
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






