-
1 Comment
Can Fin Homes Limited is currently in a long term uptrend where the price is trading 1.3% above its 200 day moving average.
From a valuation standpoint, the stock is 72.5% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 9.6.
Can Fin Homes Limited's total revenue sank by 59.3% to $2B since the same quarter in the previous year.
Its net income has increased by 23.7% to $1B since the same quarter in the previous year.
Finally, its free cash flow grew by 119.7% to $2B since the same quarter in the previous year.
Based on the above factors, Can Fin Homes Limited gets an overall score of 4/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| ISIN | INE477A01020 |
| Sector | Financial Services |
| Industry | Mortgage Finance |
| PE Ratio | 11.42 |
|---|---|
| Target Price | 894.8 |
| Dividend Yield | 0.0% |
| Market Cap | 101B |
| Beta | 0.36 |
Can Fin Homes Limited provides housing finance services primarily to first-time homebuyers and professionals in India. The company's products portfolio comprises housing loans, such as individual housing, commercial housing, composite housing, Composite Govt. Layout loan, Flat under Construction TPA Basis, IHL Cash Salary, and affordable housing loans; non-housing loans, including site, mortgage, builder, personal, CFHL top-up, I-secure loans, loans against rent receivables, loans for commercial properties, Flexi LAP, loan for pensioners, and rooftop solar loan scheme. It also offers fixed and cumulative deposits. The company was incorporated in 1987 and is headquartered in Bengaluru, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CANFINHOME.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
