Ronald Sugar - Uber Technologies Independent Chairperson of the Board
| UBER Stock | USD 73.42 1.91 2.67% |
Executive
Dr. Ronald D. Sugar Ph.D., is Independent Chairperson of the Board of the Company since July 2018. Dr. Sugar was Chairman of the board of directors and Chief Executive Officer of Northrop Grumman Corporationrationration, a global aerospace and defense company, from 2003 until his retirement in 2010 and President and Chief Operating Officer from 2001 until 2003. He was President and Chief Operating Officer of Litton Industries, Inc. from 2000 until the company was acquired by Northrop Grumman Corporation in 2001. He was earlier Chief Financial Officer of TRW Inc. Dr. Sugar is also an adviser to Ares Management LLC, Bain Company, Northrop Grumman Corporationrationration, and Singapores Temasek Investment Company. Dr. Sugar is a trustee of the University of Southern California, board of visitors member of the University of California, Los Angeles Anderson School of Management, past Chairman of the Aerospace Industries Association, and a member of the National Academy of Engineering. Dr. Sugar was a director of Amgen Inc. since 2010, Apple Inc. since 2010, Air Lease Corporation since 2010, and Chevron Corporation since 2005. since 2018.
| Age | 72 |
| Tenure | 6 years |
| Address | 1725 3rd Street, San Francisco, CA, United States, 94158 |
| Phone | 415 612 8582 |
| Web | https://www.uber.com |
Uber Technologies Management Efficiency
The company 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 11/26/2024, 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 11/26/2024, Asset Turnover is likely to grow to 1.01, while Total Current Assets are likely to drop slightly above 10.4 B.Similar Executives
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Management Performance
| Return On Equity | 0.34 | ||||
| Return On Asset | 0.0403 |
Uber Technologies Leadership Team
Elected by the shareholders, the Uber Technologies' board of directors comprises two types of representatives: Uber Technologies inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Uber. The board's role is to monitor Uber Technologies' management team and ensure that shareholders' interests are well served. Uber Technologies' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Uber Technologies' outside directors are responsible for providing unbiased perspectives on the board's policies.
| Jennifer MBA, Vice Markets | ||
| Alaxandar Wang, Head Relations | ||
| John Thain, Independent Director | ||
| Wan Martello, Independent Director | ||
| Derek JD, Chief VP | ||
| Matthew Cohler, Independent Director | ||
| Andrew Macdonald, Senior Vice President Global Rides | ||
| Amanda Ginsberg, Independent Director | ||
| Nikki Krishnamurthy, Senior Vice President and Chief People Officer | ||
| Revathi Advaithi, Independent Director | ||
| Sundeep Jain, Chief Engineering | ||
| Manik Gupta, Chief Product Officer | ||
| Ursula Burns, Independent Director | ||
| Ronald Sugar, Independent Chairperson of the Board | ||
| Balaji CFA, Head Relations | ||
| Tony West, Senior Vice President, Chief Legal Officer and Corporate Secretary | ||
| Yasir AlRumayyan, Independent Director | ||
| Ruby Zefo, Chief Officer | ||
| Nelson Chai, Chief Financial Officer | ||
| Robert Eckert, Independent Director | ||
| Garrett Camp, Independent Director | ||
| Susan Anderson, Global Business | ||
| Dara Khosrowshahi, Chief Executive Officer, Director | ||
| David Trujillo, Independent Director | ||
| Scott Schools, Chief Officer | ||
| Alexander Wynaendts, Independent Director | ||
| Jill Hazelbaker, Senior Vice President - Communications and Public Policy | ||
| Glen Ceremony, Chief Controller | ||
| Prashanth MahendraRajah, Chief Officer |
Uber Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Uber Technologies a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | 0.34 | ||||
| Return On Asset | 0.0403 | ||||
| Profit Margin | 0.10 % | ||||
| Operating Margin | 0.09 % | ||||
| Current Valuation | 154.18 B | ||||
| Shares Outstanding | 2.11 B | ||||
| Shares Owned By Insiders | 0.18 % | ||||
| Shares Owned By Institutions | 83.71 % | ||||
| Number Of Shares Shorted | 49.71 M | ||||
| Price To Book | 10.19 X |
Pair Trading with Uber Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Uber Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Uber Technologies will appreciate offsetting losses from the drop in the long position's value.Moving against Uber Stock
| 0.58 | DTRK | DATATRAK International | PairCorr |
| 0.54 | EB | Eventbrite Class A | PairCorr |
| 0.54 | VCSA | Vacasa Inc Upward Rally | PairCorr |
| 0.53 | DV | DoubleVerify Holdings | PairCorr |
| 0.41 | DMAN | Innovativ Media Group | PairCorr |
The ability to find closely correlated positions to Uber Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Uber Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Uber Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Uber Technologies to buy it.
The correlation of Uber Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Uber Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Uber Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Uber Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Uber Stock Analysis
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.