1D
1.7%
0.44%
1W
0.56%
-0.04%
1M
-2.12%
-10%
YTD
-2.1%
-12.54%
1Y
18.39%
-2.38%
3Y
375.32%
29.33%
5Y
1486.99%
49.49%
10Y
1281.58%
198.7%
- Stock Absolute Returns
- India SENSEXAbsolute Returns
Total Returns (Price + Dividend) 
Dividend Yield (1.64%)
TimePeriod
Price Return
Dividend Return
Total Return
3 Months
-3.85%
0%
-3.85%
6 Months
-22.77%
0.42%
-22.35%
1 Year
18.39%
1.91%
20.3%
2 Years
136.44%
6.83%
143.27%
3 Years
375.32%
20.03%
395.35%
4 Years
798.14%
38.46%
836.6%
5 Years
1486.99%
86.23%
1573.22%
Latest dividend: 3 per share ex-dividend date: Nov-14-2025
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
Nava Ltd has been in the First Quartile in the last 1 year and longer periods
2
Quartile
QTD
-2.48%
4
Quartile
Sep-Dec
-12.94%
1
Quartile
Jun-Sep
7.11%
1
Quartile
1Y
17.93%
1
Quartile
2025
14.36%
1
Quartile
2024
126.73%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Industry 
Consistent Winner
Nava Ltd has been in the First Quartile in the last 1 year and longer periods
2
Quartile
QTD
-2.48%
3
Quartile
Sep-Dec
-12.94%
1
Quartile
Jun-Sep
7.11%
1
Quartile
1Y
17.93%
1
Quartile
2025
14.36%
1
Quartile
2024
126.73%
Click on any of the quartiles for detailed breakdown
Return Quartiles - by Market Cap 
Consistent Winner
Nava Ltd has been in the First Quartile in the last 1 year and longer periods
1
Quartile
QTD
-2.48%
4
Quartile
Sep-Dec
-12.94%
1
Quartile
Jun-Sep
7.11%
1
Quartile
1Y
17.93%
1
Quartile
2025
14.36%
1
Quartile
2024
126.73%
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






