Uber Technologies Stock Analysis

Uber Stock Analysis Notes

About 84.0% of the company outstanding shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 1.01. Uber Technologies had not issued any dividends in recent years. Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. Uber Technologies, Inc. was founded in 2009 and is headquartered in San Francisco, California. Uber Technologies operates under SoftwareApplication classification in the United States and is traded on New York Stock Exchange. It employs 32600 people. For more information please call Dara Khosrowshahi at 415 612 8582 or visit https://www.uber.com.

Uber Technologies Investment Alerts

Uber Technologies Upcoming and Recent Events

Uber Largest EPS Surprises

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Uber Technologies Environmental, Social, and Governance (ESG) Scores

Uber Technologies Thematic Classifications

Uber Stock Institutional Investors

Note, although Uber Technologies' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Uber Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 151.53 B.

Uber Profitablity

The company has Profit Margin (PM) of 0.1 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.09 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.09.

Management Efficiency

Uber Technologies has return on total asset (ROA) of 0.0403 % which means that it generated a profit of $0.0403 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.3433 %, meaning that it created $0.3433 on every $100 dollars invested by stockholders. Uber Technologies' management efficiency ratios could be used to measure how well Uber Technologies manages its routine affairs as well as how well it operates its assets and liabilities. As of 11/30/2024, Return On Tangible Assets is likely to grow to 0.07. Also, Return On Capital Employed is likely to grow to 0.04. At this time, Uber Technologies' Return On Assets are relatively stable compared to the past year. As of 11/30/2024, Asset Turnover is likely to grow to 1.01, while Total Current Assets are likely to drop slightly above 10.4 B.

Technical Drivers

As of the 30th of November, Uber Technologies has the Semi Deviation of 2.32, risk adjusted performance of 0.0171, and Coefficient Of Variation of 7562.55. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Uber Technologies, as well as the relationship between them. Please validate Uber Technologies downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Uber Technologies is priced more or less accurately, providing market reflects its prevalent price of 71.96 per share. Given that Uber Technologies has jensen alpha of (0.11), we advise you to double-check Uber Technologies's current market performance to make sure the company can sustain itself at a future point.

Uber Technologies Price Movement Analysis

Uber Technologies Insider Trading Activities

Uber Technologies Outstanding Bonds

Uber Technologies Predictive Daily Indicators

Uber Technologies Corporate Filings

Uber Technologies Forecast Models

Uber Technologies' time-series forecasting models are one of many Uber Technologies' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Uber Technologies' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Uber Technologies prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Uber shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Uber Technologies. By using and applying Uber Stock analysis, traders can create a robust methodology for identifying Uber entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Uber analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Uber analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Uber Technologies stock analysis indicators help investors evaluate how Uber Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Uber Technologies shares will generate the highest return on investment. By understating and applying Uber Technologies stock analysis, traders can identify Uber Technologies position entry and exit signals to maximize returns.

When running Uber Technologies' price analysis, check to measure Uber Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Uber Technologies is operating at the current time. Most of Uber Technologies' value examination focuses on studying past and present price action to predict the probability of Uber Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uber Technologies' price. Additionally, you may evaluate how the addition of Uber Technologies to your portfolios can decrease your overall portfolio volatility.