-
1 Comment
Dish TV India Limited is currently in a long term uptrend where the price is trading 15.3% above its 200 day moving average.
From a valuation standpoint, the stock is 95.9% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 0.6.
Dish TV India Limited's total revenue sank by 6.0% to $8B since the same quarter in the previous year.
Its net income has increased by 240.5% to $907M since the same quarter in the previous year.
Finally, its free cash flow fell by 13.7% to $9B since the same quarter in the previous year.
Based on the above factors, Dish TV India Limited gets an overall score of 3/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| Sector | Communication Services |
| Industry | Entertainment |
| ISIN | INE836F01026 |
| PE Ratio | None |
|---|---|
| Market Cap | 10B |
| Target Price | 11 |
| Beta | 0.44 |
| Dividend Yield | None |
Dish TV India Limited provides direct to home (DTH) and teleport services in India. It offers connected devices, such as Dish SMRT Hub and DTH Stream; zing digital, a regional content in digital picture quality and stereophonic sound; and SD set top box, and hybrid box. The company provides DTH services under Dish TV, Zing Super, and D2H brands. In addition, it offers value-added services; and OTT platform of the Dish group under Watcho brand name. The company distributes its products and services through a network of distributors and dealers. Dish TV India Limited was incorporated in 1988 and is based in Noida, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for DISHTV.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
