-
1 Comment
Palantir Technologies Inc is currently in a long term uptrend where the price is trading 0.1% above its 200 day moving average.
From a valuation standpoint, the stock is 52.3% more expensive than other stocks from the Technology sector with a price to sales ratio of 20.8.
Based on the above factors, Palantir Technologies Inc gets an overall score of 1/5.
ISIN | US69608A1088 |
---|---|
CurrencyCode | EUR |
Exchange | F |
Sector | Technology |
Industry | Software-Infrastructure |
PE Ratio | None |
---|---|
Market Cap | 17B |
Dividend Yield | 0.0% |
Target Price | 24.76 |
Beta | 2.87 |
Palantir Technologies Inc. builds and deploys software platforms for the intelligence community in the United States to assist in counterterrorism investigations and operations. The company provides Palantir Gotham, a software platform which enables users to identify patterns hidden deep within datasets, ranging from signals intelligence sources to reports from confidential informants, as well as facilitates the handoff between analysts and operational users, helping operators plan and execute real-world responses to threats that have been identified within the platform. It also offers Palantir Foundry, a platform that transforms the ways organizations operate by creating a central operating system for their data; and allows individual users to integrate and analyze the data they need in one place. In addition, it provides Palantir Apollo, a software that enables customers to deploy their own software virtually in any environment. Palantir Technologies Inc. was incorporated in 2003 and is based in Denver, Colorado.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PTX.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 2024