Uber Cash from 2010 to 2024
| UBER Stock | USD 71.62 0.06 0.08% |
Cash | First Reported 2018-12-31 | Previous Quarter 5.3 B | Current Value 7.1 B | Quarterly Volatility 2.4 B |
Check Uber Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Uber Technologies' main balance sheet or income statement drivers, such as Tax Provision of 223.7 M, Interest Income of 459.8 M or Interest Expense of 508.3 M, as well as many indicators such as Price To Sales Ratio of 6.27, Dividend Yield of 0.0 or PTB Ratio of 11.7. Uber financial statements analysis is a perfect complement when working with Uber Technologies Valuation or Volatility modules.
Uber | Cash |
Latest Uber Technologies' Cash Growth Pattern
Below is the plot of the Cash of Uber Technologies over the last few years. Cash refers to the most liquid asset of Uber Technologies, which is listed under current asset account on Uber Technologies balance sheet and usually includes currency, coins, checking accounts, and not deposited checks received from Uber Technologies customers. The amounts must be unrestricted with restricted cash listed in a different Uber Technologies account. It is the total amount of money in the form of currency that a company has in its possession. This includes all bills, coins, and funds in bank accounts. Uber Technologies' Cash historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Uber Technologies' overall financial position and show how it may be relating to other accounts over time.
| Cash | 10 Years Trend |
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Cash |
| Timeline |
Uber Cash Regression Statistics
| Arithmetic Mean | 5,983,253,333 | |
| Geometric Mean | 5,823,393,783 | |
| Coefficient Of Variation | 26.41 | |
| Mean Deviation | 948,896,000 | |
| Median | 6,241,000,000 | |
| Standard Deviation | 1,580,108,954 | |
| Sample Variance | 2496744.3T | |
| Range | 6.7B | |
| R-Value | (0.26) | |
| Mean Square Error | 2513766.3T | |
| R-Squared | 0.07 | |
| Significance | 0.36 | |
| Slope | (90,147,857) | |
| Total Sum of Squares | 34954420.3T |
Uber Cash History
Other Fundumenentals of Uber Technologies
Uber Technologies Cash component correlations
Click cells to compare fundamentals
About Uber Technologies Financial Statements
Uber Technologies shareholders use historical fundamental indicators, such as Cash, to determine how well the company is positioned to perform in the future. Although Uber Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Uber Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Uber Technologies' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
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
| 0.69 | DTRK | DATATRAK International | PairCorr |
| 0.58 | EB | Eventbrite Class A | PairCorr |
| 0.57 | DV | DoubleVerify Holdings | PairCorr |
| 0.55 | VCSA | Vacasa Inc Trending | PairCorr |
| 0.38 | ML | MoneyLion | 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.