-
1 Comment
Dixons Carphone plc is currently in a long term uptrend where the price is trading 8.5% above its 200 day moving average.
From a valuation standpoint, the stock is 99.7% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.2.
Dixons Carphone plc's total revenue sank by 0.0% to $2B since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-36M since the same quarter in the previous year.
Finally, its free cash flow grew by 227.3% to $324M since the same quarter in the previous year.
Based on the above factors, Dixons Carphone plc gets an overall score of 3/5.
ISIN | GB00B4Y7R145 |
---|---|
Sector | Consumer Cyclical |
Industry | Specialty Retail |
Exchange | F |
CurrencyCode | EUR |
Market Cap | 1B |
---|---|
PE Ratio | 19.17 |
Beta | 1.02 |
Target Price | None |
Dividend Yield | None |
Currys plc operates as a omnichannel retailer of technology products and services in the United Kingdom, Ireland, Norway, Sweden, Finland, Denmark, Iceland, Greenland, and the Faroe Islands. The company offers consumer electronics and mobile technology products and services; iD Mobile, a mobile virtual network operator solution; and provides consumer electrical repair and insurance services. It sells its products through franchise and own stores operated under Currys and Elkjøp brand names, as well as through online channels. The company was formerly known as Dixons Carphone plc and changed its name to Currys plc in September 2021. Currys plc was founded in 1884 and is based in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CWB.F 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