Uber Net Working Capital vs Net Receivables Analysis
UBER Stock | USD 69.64 0.04 0.06% |
Uber Technologies financial indicator trend analysis is much more than just breaking down Uber Technologies prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Uber Technologies is a good investment. Please check the relationship between Uber Technologies Net Working Capital and its Net Receivables accounts. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Uber Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income. To learn how to invest in Uber Stock, please use our How to Invest in Uber Technologies guide.
Net Working Capital vs Net Receivables
Net Working Capital vs Net Receivables Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Uber Technologies Net Working Capital account and Net Receivables. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between Uber Technologies' Net Working Capital and Net Receivables is -0.42. Overlapping area represents the amount of variation of Net Working Capital that can explain the historical movement of Net Receivables in the same time period over historical financial statements of Uber Technologies, assuming nothing else is changed. The correlation between historical values of Uber Technologies' Net Working Capital and Net Receivables is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Working Capital of Uber Technologies are associated (or correlated) with its Net Receivables. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Receivables has no effect on the direction of Net Working Capital i.e., Uber Technologies' Net Working Capital and Net Receivables go up and down completely randomly.
Correlation Coefficient | -0.42 |
Relationship Direction | Negative |
Relationship Strength | Very Weak |
Net Working Capital
Net Receivables
Most indicators from Uber Technologies' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Uber Technologies current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Uber Technologies. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income. To learn how to invest in Uber Stock, please use our How to Invest in Uber Technologies guide.At this time, Uber Technologies' Tax Provision is relatively stable compared to the past year. As of 11/21/2024, Selling General Administrative is likely to grow to about 3.1 B, while Issuance Of Capital Stock is likely to drop 0.00.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 8.1B | 12.2B | 14.8B | 15.6B | Total Revenue | 17.5B | 31.9B | 37.3B | 39.1B |
Uber Technologies fundamental ratios Correlations
Click cells to compare fundamentals
Uber Technologies Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Uber Technologies fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 31.8B | 33.3B | 38.8B | 32.1B | 38.7B | 31.6B | |
Other Current Liab | 5.1B | 4.3B | 2.7B | 5.6B | 7.5B | 4.8B | |
Total Current Liabilities | 5.6B | 6.9B | 9.0B | 8.9B | 9.5B | 7.1B | |
Total Stockholder Equity | 14.2B | 12.3B | 14.5B | 7.3B | 11.2B | 7.8B | |
Other Liab | 3.6B | 3.5B | 3.4B | 3.5B | 3.2B | 3.2B | |
Net Tangible Assets | 14.0B | 5.4B | 3.6B | 5.9B | 6.8B | 7.1B | |
Retained Earnings | (16.4B) | (23.1B) | (23.6B) | (32.8B) | (30.6B) | (29.1B) | |
Accounts Payable | 272M | 235M | 860M | 728M | 790M | 485.1M | |
Cash | 10.9B | 5.6B | 4.3B | 4.2B | 5.5B | 4.8B | |
Other Assets | 2.4B | 13.9B | 3.3B | 2.3B | 2.7B | 4.0B | |
Long Term Debt | 5.7B | 7.6B | 9.3B | 9.3B | 9.5B | 7.1B | |
Net Receivables | 1.2B | 1.1B | 3.0B | 2.8B | 4.1B | 4.3B | |
Good Will | 167M | 6.1B | 8.4B | 8.3B | 8.2B | 4.3B | |
Common Stock Shares Outstanding | 1.2B | 1.8B | 1.9B | 2.0B | 2.1B | 1.8B | |
Other Current Assets | 1.3B | 2.0B | 1.1B | 2.2B | 964M | 1.1B | |
Other Stockholder Equity | 30.7B | 35.9B | (524M) | 40.6B | 42.3B | 23.4B | |
Total Liab | 16.6B | 19.5B | 23.4B | 23.6B | 26.0B | 21.4B | |
Long Term Investments | 11.9B | 1.1B | 12.5B | 5.3B | 6.3B | 6.1B | |
Total Current Assets | 13.9B | 9.9B | 8.8B | 9.2B | 11.3B | 10.4B | |
Short Term Debt | 196M | 352M | 185M | 495M | 499M | 263.5M | |
Intangible Assets | 71M | 1.6B | 2.4B | 1.9B | 1.4B | 1.0B | |
Property Plant Equipment | 3.3B | 1.8B | 3.2B | 2.1B | 2.4B | 2.4B | |
Short Long Term Debt Total | 7.4B | 9.3B | 11.1B | 11.1B | 11.8B | 9.7B | |
Property Plant And Equipment Net | 3.3B | 3.1B | 3.2B | 3.5B | 3.3B | 3.0B | |
Net Debt | (3.4B) | 3.6B | 5.0B | 6.9B | 6.3B | 6.7B | |
Non Current Assets Total | 17.8B | 23.4B | 30.0B | 22.9B | 27.4B | 22.8B | |
Non Currrent Assets Other | 2.4B | 2.5B | 3.3B | 3.9B | 1.5B | 2.6B | |
Cash And Short Term Investments | 11.3B | 6.8B | 4.3B | 4.3B | 6.2B | 5.0B | |
Long Term Debt Total | 5.9B | 7.6B | 9.3B | 9.3B | 10.7B | 7.8B | |
Liabilities And Stockholders Equity | 31.8B | 33.3B | 38.1B | 32.1B | 38.7B | 33.5B | |
Non Current Liabilities Total | 10.9B | 12.6B | 14.4B | 14.8B | 16.6B | 15.4B | |
Capital Surpluse | 30.7B | 35.9B | 38.6B | 40.6B | 46.6B | 26.9B | |
Inventory | 99M | 767M | 1.6B | 680M | 612M | 723.2M | |
Net Invested Capital | 19.9B | 20.2B | 23.7B | 16.6B | 20.7B | 17.4B | |
Property Plant And Equipment Gross | 3.3B | 3.1B | 1.9B | 2.1B | 4.7B | 2.8B | |
Accumulated Other Comprehensive Income | (187M) | (535M) | (524M) | (443M) | (421M) | (442.1M) |
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
0.56 | VCSA | Vacasa Inc | PairCorr |
0.53 | EB | Eventbrite Class A | PairCorr |
0.52 | DV | DoubleVerify Holdings | PairCorr |
0.49 | DMAN | Innovativ Media Group | PairCorr |
0.44 | DTRK | DATATRAK International | 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.