VERANDA

Veranda Learning Solutions Price History

₹34.39+4.98%close, 9 Oct 2026
Market cap
₹331 crore
P/E
22.5
P/B
2.85
ROE
14.5%
Dividend yield
1.20%
52-week range
₹24.76 – ₹46.43

Veranda Learning Solutions (VERANDA) closed at ₹34.39 on 9 October 2026. It gained 24.50% over the past year, against +14.20% for the Nifty 50. In the last 52 weeks it traded between ₹24.76 (2 Jan 2026) and ₹46.43 (25 Aug 2026).

Veranda Learning Solutions price chart

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Veranda Learning Solutions returns vs Nifty 50

Veranda Learning Solutions price returns by period, compared with the Nifty 50 index
PeriodVeranda Learning SolutionsNifty 50
1W+1.25%+0.85%
1M+3.40%+2.10%
3M+8.50%+4.50%
6M+14.20%+8.90%
1Y+24.50%+14.20%
3Y+55.00%+32.50%
5Y+120.00%+65.00%

52-week high and low

52-week high
₹46.43 · 25 Aug 2026
52-week low
₹24.76 · 2 Jan 2026
Highest close in period shown
₹46.43 · 25 Aug 2026
Lowest close in period shown
₹24.76 · 2 Jan 2026

Source: NSE end-of-day prices, adjusted for bonus issues and stock splits. Data as of 9 October 2026. How this data is compiled.

Veranda Learning Solutions price history — frequently asked questions

What was the Veranda Learning Solutions share price return over the last year?

Veranda Learning Solutions returned +24.50% over the year to 9 October 2026, compared with +14.20% for the Nifty 50 over the same period.

What is the Veranda Learning Solutions 52-week high and low?

The 52-week high is ₹46.43, reached on 25 August 2026, and the 52-week low is ₹24.76, on 2 January 2026.

Where does the Veranda Learning Solutions price history come from?

The figures are daily closing prices from the NSE's end-of-day data, adjusted for bonus issues and stock splits so that earlier prices are comparable with today's. Monthly rows show the first open, highest high, lowest low and last close of each month.

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Figures are for information only and are not investment advice or a recommendation to buy, sell or hold any security. Investments in securities are subject to market risks; read all related documents carefully before investing.