1D
-0.08%
1.23%
1W
-1.72%
0.78%
1M
1.01%
-3.07%
YTD
3.01%
-14.96%
1Y
-5.59%
-11.8%
3Y
10.41%
10.62%
5Y
17.78%
20.67%
10Y
465.57%
158.27%
- Stock Absolute Returns
- India SENSEXAbsolute Returns
Total Returns (Price + Dividend) 
Dividend Yield (0%)
TimePeriod
Price Return
Dividend Return
Total Return
3 Months
-3.23%
0%
-3.23%
6 Months
-8.82%
0%
-8.82%
1 Year
-5.59%
0%
-5.59%
2 Years
-36.96%
0%
-36.96%
3 Years
10.41%
0%
10.41%
4 Years
35.02%
0%
35.02%
5 Years
17.78%
0%
17.78%
Bihar Sponge 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 
Inconsistent Performance
Bihar Sponge Iron Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-1.06%
2
Quartile
Jun-Sep
-0.41%
4
Quartile
Mar-Jun
10.63%
2
Quartile
YTD
-4.72%
3
Quartile
2025
-30.09%
1
Quartile
2024
57.08%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Industry 
Inconsistent Performance
Bihar Sponge Iron Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-1.06%
3
Quartile
Jun-Sep
-0.41%
3
Quartile
Mar-Jun
10.63%
2
Quartile
YTD
-4.72%
3
Quartile
2025
-30.09%
1
Quartile
2024
57.08%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Market Cap 
Inconsistent Performance
Bihar Sponge Iron Ltd has not been a consistent performer in the YTD and longer periods
2
Quartile
QTD
-1.06%
2
Quartile
Jun-Sep
-0.41%
4
Quartile
Mar-Jun
10.63%
2
Quartile
YTD
-4.72%
3
Quartile
2025
-30.09%
2
Quartile
2024
57.08%
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