-
1 Comment
IntraSoft Technologies Limited is currently in a long term uptrend where the price is trading 35.2% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.2.
IntraSoft Technologies Limited's total revenue sank by 11.5% to $1B since the same quarter in the previous year.
Its net income has increased by 223.7% to $39M since the same quarter in the previous year.
Finally, its free cash flow grew by 843.5% to $57M since the same quarter in the previous year.
Based on the above factors, IntraSoft Technologies Limited gets an overall score of 4/5.
ISIN | INE566K01011 |
---|---|
Exchange | NSE |
CurrencyCode | INR |
Sector | Consumer Cyclical |
Industry | Internet Retail |
PE Ratio | 13.77 |
---|---|
Target Price | 624 |
Beta | 0.12 |
Market Cap | 2B |
Dividend Yield | None |
IntraSoft Technologies Limited, through its subsidiaries, develops and delivers e-commerce and e-cards through internet platform in India and internationally. The company owns and operates 123stores.com, an e-commerce retail portal that provides sports and outdoor, home and kitchen, garden and outdoor, tool and home, and other products; 123Greetings.com, which offers various e-cards across various languages covering seasonal and everyday categories; and 123Greetings Studio, a platform for artists to upload and monetize on their own e-cards. It also sells its products through online marketplaces, such as Amazon and eBay. The company was incorporated in 1996 and is based in Kolkata, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ISFT.NSE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025