-
1 Comment
Lyft, Inc is currently in a long term uptrend where the price is trading 17.8% above its 200 day moving average.
From a valuation standpoint, the stock is 38.5% cheaper than other stocks from the Technology sector with a price to sales ratio of 8.4.
Lyft, Inc's total revenue sank by 44.0% to $570M since the same quarter in the previous year.
Its net income has dropped by 28.7% to $-458M since the same quarter in the previous year.
Finally, its free cash flow fell by 199.9% to $-287M since the same quarter in the previous year.
Based on the above factors, Lyft, Inc gets an overall score of 2/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| Sector | Technology |
| Industry | Software - Application |
| ISIN | US55087P1049 |
| Market Cap | 5B |
|---|---|
| PE Ratio | 1.94 |
| Target Price | 69.76 |
| Beta | 1.91 |
| Dividend Yield | None |
Lyft, Inc. operates multimodal transportation networks that offer access to various transportation options through platform and mobile based applications in the United States and internationally. The company facilitates peer-to-peer ridesharing by connecting drivers who have vehicles with riders who need a ride. It also operates Lyft Platform that provides a marketplace where drivers can be matched with riders via the Lyft mobile application. The company's platform provides a ridesharing marketplace that connects drivers with riders; Express Drive, a car rental program for drivers; and a network of shared bikes and scooters in various cities to address the needs of riders for short trips. In addition, it offers licensing and data access agreements; sells bikes and bike station software and hardware; and provides advertising services. The company was formerly known as Zimride, Inc. and changed its name to Lyft, Inc. in April 2013. Lyft, Inc. was incorporated in 2007 and is headquartered in San Francisco, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LY0.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 2026