-
CurrencyCode | USD |
---|---|
ISIN | US5312297899 |
Industry | Broadcasting |
Exchange | NASDAQ |
Sector | Communication Services |
PE Ratio | 8.74 |
---|---|
Beta | 1.17 |
Market Cap | 7B |
Target Price | 37 |
Dividend Yield | None |
The Liberty SiriusXM Group, through its subsidiaries, engages in the entertainment business in the United States, the United Kingdom, and internationally. It features music, sports, entertainment, comedy, talk, news, traffic, weather channels, podcast, and infotainment services through proprietary satellite radio systems, as well as streamed through SXM App for mobile and home devices, and other consumer electronic equipment. It also offers connected vehicle services; a suite of data services that include graphical weather, fuel prices, sports schedules and scores, and movie listings; and traffic information services, which provide information as to road closings, traffic flow and incident data to consumers with compatible in-vehicle navigation systems, and real-time weather services in vehicles, boats, and planes. In addition, the company operates a music, comedy, and podcast streaming platform. Further, it offers ad-supported radio services; Pandora Plus, a radio subscription service; and Pandora Premium, an on-demand subscription service. Additionally, the company distributes satellite radios through automakers and retailers, as well as through its website. The Liberty SiriusXM Group is based in Englewood, Colorado. The Liberty SiriusXM Group operates as a subsidiary of Liberty Media Corporation.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LSXMK 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