Uber Short Long Term Debt from 2010 to 2025

UBER Stock  USD 74.67  0.49  0.66%   
Uber Technologies Short and Long Term Debt yearly trend continues to be relatively stable with very little volatility. Short and Long Term Debt is likely to grow to about 1.4 B this year. Short and Long Term Debt is the total of a company's short-term and long-term borrowings. View All Fundamentals
 
Short and Long Term Debt  
First Reported
2010-12-31
Previous Quarter
1.3 B
Current Value
1.4 B
Quarterly Volatility
574 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 Interest Income of 1.1 B, Interest Expense of 515 M or Selling General Administrative of 3.2 B, as well as many indicators such as Price To Sales Ratio of 2.73, Dividend Yield of 0.0 or PTB Ratio of 4.19. Uber financial statements analysis is a perfect complement when working with Uber Technologies Valuation or Volatility modules.
  
Check out the analysis of Uber Technologies Correlation against competitors.
To learn how to invest in Uber Stock, please use our How to Invest in Uber Technologies guide.

Latest Uber Technologies' Short Long Term Debt Growth Pattern

Below is the plot of the Short Long Term Debt of Uber Technologies over the last few years. It is the total of a company's short-term and long-term borrowings. Uber Technologies' Short and Long Term Debt 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.
Short Long Term Debt10 Years Trend
Slightly volatile
   Short Long Term Debt   
       Timeline  

Uber Short Long Term Debt Regression Statistics

Arithmetic Mean420,882,812
Geometric Mean78,797,159
Coefficient Of Variation136.37
Mean Deviation507,088,867
Median27,000,000
Standard Deviation573,971,380
Sample Variance329443.1T
Range1.4B
R-Value0.85
Mean Square Error95056.3T
R-Squared0.73
Significance0.000025
Slope103,054,228
Total Sum of Squares4941647.2T

Uber Short Long Term Debt History

20251.4 B
20241.3 B
20211.1 B
2020348 M
201827 M
201787 M

Other Fundumenentals of Uber Technologies

Uber Technologies Short Long Term Debt component correlations

0.920.81-0.840.80.920.880.870.830.850.290.850.830.680.770.470.850.740.950.950.970.1-0.36-0.46
0.920.81-0.760.610.830.740.720.790.720.360.770.860.580.660.510.740.570.890.840.960.29-0.24-0.61
0.810.81-0.780.580.780.640.660.580.620.180.650.910.70.610.680.660.530.710.880.810.450.03-0.38
-0.84-0.76-0.78-0.76-0.97-0.88-0.92-0.66-0.85-0.06-0.85-0.69-0.95-0.89-0.29-0.87-0.89-0.91-0.93-0.85-0.050.410.27
0.80.610.58-0.760.840.910.890.540.740.240.910.480.620.810.450.740.850.80.80.68-0.32-0.67-0.34
0.920.830.78-0.970.840.920.960.750.840.160.90.70.860.930.410.920.90.960.960.910.0-0.48-0.32
0.880.740.64-0.880.910.920.90.660.870.280.910.650.770.790.310.770.850.910.860.82-0.13-0.53-0.34
0.870.720.66-0.920.890.960.90.730.830.020.920.550.810.950.290.960.970.910.920.82-0.24-0.65-0.31
0.830.790.58-0.660.540.750.660.730.770.190.650.620.520.720.30.820.590.770.760.830.07-0.33-0.37
0.850.720.62-0.850.740.840.870.830.770.150.840.650.780.740.140.780.760.840.840.81-0.05-0.44-0.41
0.290.360.18-0.060.240.160.280.020.190.150.110.35-0.170.040.59-0.12-0.150.280.140.360.440.160.0
0.850.770.65-0.850.910.90.910.920.650.840.110.560.720.840.330.830.880.870.840.78-0.27-0.7-0.61
0.830.860.91-0.690.480.70.650.550.620.650.350.560.610.430.560.530.380.730.810.860.570.17-0.4
0.680.580.7-0.950.620.860.770.810.520.78-0.170.720.610.770.110.780.830.750.830.690.04-0.3-0.17
0.770.660.61-0.890.810.930.790.950.720.740.040.840.430.770.350.940.930.840.860.75-0.2-0.65-0.21
0.470.510.68-0.290.450.410.310.290.30.140.590.330.560.110.350.240.130.340.490.470.440.12-0.17
0.850.740.66-0.870.740.920.770.960.820.78-0.120.830.530.780.940.240.910.860.890.81-0.19-0.59-0.33
0.740.570.53-0.890.850.90.850.970.590.76-0.150.880.380.830.930.130.910.820.820.67-0.4-0.74-0.25
0.950.890.71-0.910.80.960.910.910.770.840.280.870.730.750.840.340.860.820.920.960.02-0.47-0.38
0.950.840.88-0.930.80.960.860.920.760.840.140.840.810.830.860.490.890.820.920.920.12-0.33-0.32
0.970.960.81-0.850.680.910.820.820.830.810.360.780.860.690.750.470.810.670.960.920.26-0.25-0.41
0.10.290.45-0.05-0.320.0-0.13-0.240.07-0.050.44-0.270.570.04-0.20.44-0.19-0.40.020.120.260.820.11
-0.36-0.240.030.41-0.67-0.48-0.53-0.65-0.33-0.440.16-0.70.17-0.3-0.650.12-0.59-0.74-0.47-0.33-0.250.820.36
-0.46-0.61-0.380.27-0.34-0.32-0.34-0.31-0.37-0.410.0-0.61-0.4-0.17-0.21-0.17-0.33-0.25-0.38-0.32-0.410.110.36
Click cells to compare fundamentals

About Uber Technologies Financial Statements

Uber Technologies shareholders use historical fundamental indicators, such as Short Long Term Debt, 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.
Last ReportedProjected for Next Year
Short and Long Term Debt1.3 B1.4 B
Short and Long Term Debt Total10 B9.8 B

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

  0.83WK WorkivaPairCorr
  0.76DJCO Daily Journal CorpPairCorr
  0.75VERB Verb Technology Earnings Call This WeekPairCorr
  0.67BL BlacklinePairCorr
  0.57DOCU DocuSignPairCorr
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.
Pair CorrelationCorrelation Matching

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.