-
1 Comment
Telecom Italia S.p.A is currently in a long term uptrend where the price is trading 1.6% above its 200 day moving average.
From a valuation standpoint, the stock is 96.8% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 0.6.
Telecom Italia S.p.A's total revenue sank by 71.2% to $4B since the same quarter in the previous year.
Its net income has dropped by 18.7% to $500M since the same quarter in the previous year.
Finally, its free cash flow fell by 81.6% to $296M since the same quarter in the previous year.
Based on the above factors, Telecom Italia S.p.A gets an overall score of 2/5.
Sector | Communication Services |
---|---|
Industry | Telecom Services |
Exchange | F |
CurrencyCode | EUR |
ISIN | IT0003497176 |
Beta | 0.95 |
---|---|
Target Price | None |
Market Cap | 7B |
PE Ratio | None |
Dividend Yield | None |
Telecom Italia S.p.A., together with its subsidiaries, engages in the fixed and mobile telecommunications services in Italy and internationally. The company operates through Domestic, Brazil, and Other Operations segments. It offers telephone and public telephony services, as well as products managed and developed for individuals and families; voice, data, and Internet services and products; and information and communications technology solutions for top, public sector and large account customers. The company also provides connectivity services; mobile phone services and fiber optic data transmission using IP technology and residential broadband services; and internet of things services. Telecom Italia S.p.A. was incorporated in 1908 and is headquartered in Rome, Italy.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TQIR.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