Uber Technologies Stock EBITDA

UBER Stock

USD 69.64 0.04 0.06%

Uber Technologies fundamentals help investors to digest information that contributes to Uber Technologies' financial success or failures. It also enables traders to predict the movement of Uber Stock. The fundamental analysis module provides a way to measure Uber Technologies' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Uber Technologies stock.

		Last Reported	Projected for Next Year
	EBITDA	1.9 B	2 B

As of 11/21/2024, EBITDA is likely to grow to about 2 B.

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Uber Technologies Company EBITDA Analysis

Uber Technologies' EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.

EBITDA

Revenue

-

Basic Expenses

More About EBITDA | All Equity Analysis

Current Uber Technologies EBITDA

1.93 B

Most of Uber Technologies' fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Uber Technologies is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.

Uber EBITDA Driver Correlations

Understanding the fundamental principles of building solid financial models for Uber Technologies is extremely important. It helps to project a fair market value of Uber Stock properly, considering its historical fundamentals such as EBITDA. Since Uber Technologies' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Uber Technologies' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Uber Technologies' interrelated accounts and indicators.

	Total Assets	Total Stockholder Equity	Net Tangible Assets	Retained Earnings	Accounts Payable	Long Term Debt	Net Receivables	Good Will	Short Term Investments	Total Liab	Long Term Investments	Short Long Term Debt	Total Current Assets	Short Term Debt	Intangible Assets	Property Plant Equipment	Current Deferred Revenue	Net Debt	Long Term Debt Total	Capital Surpluse	Net Invested Capital	Cash And Equivalents	Net Working Capital	Deferred Long Term Liab
Total Assets		0.94	0.84	-0.92	0.73	0.96	0.82	0.87	0.8	0.8	0.26	0.86	0.8	0.83	0.85	0.56	0.86	0.76	0.95	0.96	0.97	0.24	-0.21	-0.41
Total Stockholder Equity	0.94		0.79	-0.78	0.51	0.84	0.66	0.69	0.76	0.63	0.4	0.67	0.84	0.66	0.7	0.57	0.71	0.54	0.88	0.84	0.98	0.47	0.0	-0.29
Net Tangible Assets	0.84	0.79		-0.79	0.53	0.77	0.64	0.63	0.53	0.58	0.14	0.65	0.91	0.73	0.59	0.71	0.63	0.55	0.69	0.88	0.81	0.5	0.18	-0.42
Retained Earnings	-0.92	-0.78	-0.79		-0.76	-0.96	-0.9	-0.91	-0.65	-0.87	-0.01	-0.95	-0.69	-0.94	-0.86	-0.35	-0.88	-0.9	-0.93	-0.94	-0.87	-0.04	0.35	0.55
Accounts Payable	0.73	0.51	0.53	-0.76		0.83	0.8	0.87	0.42	0.66	0.19	0.76	0.34	0.68	0.84	0.52	0.71	0.82	0.76	0.77	0.59	-0.3	-0.63	-0.35
Long Term Debt	0.96	0.84	0.77	-0.96	0.83		0.85	0.96	0.72	0.83	0.12	0.92	0.66	0.89	0.93	0.46	0.92	0.87	0.97	0.97	0.91	0.03	-0.41	-0.4
Net Receivables	0.82	0.66	0.64	-0.9	0.8	0.85		0.8	0.57	0.8	0.17	0.88	0.58	0.76	0.73	0.38	0.72	0.87	0.87	0.79	0.76	-0.1	-0.42	-0.77
Good Will	0.87	0.69	0.63	-0.91	0.87	0.96	0.8		0.68	0.79	-0.05	0.93	0.45	0.87	0.98	0.33	0.96	0.93	0.9	0.91	0.78	-0.22	-0.61	-0.34
Short Term Investments	0.8	0.76	0.53	-0.65	0.42	0.72	0.57	0.68		0.71	0.15	0.73	0.53	0.55	0.73	0.31	0.79	0.56	0.71	0.71	0.79	0.15	-0.2	-0.3
Total Liab	0.8	0.63	0.58	-0.87	0.66	0.83	0.8	0.79	0.71		0.1	0.84	0.56	0.86	0.76	0.16	0.75	0.75	0.81	0.81	0.75	0.02	-0.33	-0.42
Long Term Investments	0.26	0.4	0.14	-0.01	0.19	0.12	0.17	-0.05	0.15	0.1		-0.14	0.33	-0.17	0.02	0.57	-0.19	-0.2	0.22	0.08	0.34	0.48	0.2	0.09
Short Long Term Debt	0.86	0.67	0.65	-0.95	0.76	0.92	0.88	0.93	0.73	0.84	-0.14		0.5	0.87	0.9	0.25	0.95	0.96	0.87	0.87	0.78	-0.19	-0.53	-0.61
Total Current Assets	0.8	0.84	0.91	-0.69	0.34	0.66	0.58	0.45	0.53	0.56	0.33	0.5		0.65	0.4	0.61	0.47	0.35	0.67	0.77	0.83	0.7	0.4	-0.39
Short Term Debt	0.83	0.66	0.73	-0.94	0.68	0.89	0.76	0.87	0.55	0.86	-0.17	0.87	0.65		0.77	0.19	0.84	0.82	0.84	0.91	0.76	0.02	-0.28	-0.41
Intangible Assets	0.85	0.7	0.59	-0.86	0.84	0.93	0.73	0.98	0.73	0.76	0.02	0.9	0.4	0.77		0.37	0.95	0.89	0.86	0.87	0.77	-0.19	-0.63	-0.26
Property Plant Equipment	0.56	0.57	0.71	-0.35	0.52	0.46	0.38	0.33	0.31	0.16	0.57	0.25	0.61	0.19	0.37		0.26	0.2	0.38	0.53	0.51	0.44	0.17	-0.17
Current Deferred Revenue	0.86	0.71	0.63	-0.88	0.71	0.92	0.72	0.96	0.79	0.75	-0.19	0.95	0.47	0.84	0.95	0.26		0.9	0.85	0.89	0.78	-0.16	-0.52	-0.37
Net Debt	0.76	0.54	0.55	-0.9	0.82	0.87	0.87	0.93	0.56	0.75	-0.2	0.96	0.35	0.82	0.89	0.2	0.9		0.82	0.8	0.66	-0.37	-0.68	-0.59
Long Term Debt Total	0.95	0.88	0.69	-0.93	0.76	0.97	0.87	0.9	0.71	0.81	0.22	0.87	0.67	0.84	0.86	0.38	0.85	0.82		0.91	0.93	0.07	-0.38	-0.44
Capital Surpluse	0.96	0.84	0.88	-0.94	0.77	0.97	0.79	0.91	0.71	0.81	0.08	0.87	0.77	0.91	0.87	0.53	0.89	0.8	0.91		0.9	0.17	-0.22	-0.38
Net Invested Capital	0.97	0.98	0.81	-0.87	0.59	0.91	0.76	0.78	0.79	0.75	0.34	0.78	0.83	0.76	0.77	0.51	0.78	0.66	0.93	0.9		0.38	-0.1	-0.37
Cash And Equivalents	0.24	0.47	0.5	-0.04	-0.3	0.03	-0.1	-0.22	0.15	0.02	0.48	-0.19	0.7	0.02	-0.19	0.44	-0.16	-0.37	0.07	0.17	0.38		0.84	0.12
Net Working Capital	-0.21	0.0	0.18	0.35	-0.63	-0.41	-0.42	-0.61	-0.2	-0.33	0.2	-0.53	0.4	-0.28	-0.63	0.17	-0.52	-0.68	-0.38	-0.22	-0.1	0.84		0.16
Deferred Long Term Liab	-0.41	-0.29	-0.42	0.55	-0.35	-0.4	-0.77	-0.34	-0.3	-0.42	0.09	-0.61	-0.39	-0.41	-0.26	-0.17	-0.37	-0.59	-0.44	-0.38	-0.37	0.12	0.16

Click cells to compare fundamentals

In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.

Competition

Predict Uber Technologies

Ebitda Over Time

Uber Ebitda

Ebitda

2.03 Billion

At this time, Uber Technologies' EBITDA is relatively stable compared to the past year.

According to the company disclosure, Uber Technologies reported earnings before interest,tax, depreciation and amortization of 1.93 B. This is 108.87% higher than that of the Ground Transportation sector and significantly higher than that of the Industrials industry. The ebitda for all United States stocks is 50.42% higher than that of the company.

Uber EBITDA Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Uber Technologies' direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Uber Technologies could also be used in its relative valuation, which is a method of valuing Uber Technologies by comparing valuation metrics of similar companies.

Uber Technologies is currently under evaluation in ebitda category among its peers.

Uber Technologies ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Uber Technologies' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Uber Technologies' managers, analysts, and investors.

Environmental

Governance

Social

Uber Technologies Institutional Holders

Institutional Holdings refers to the ownership stake in Uber Technologies that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Uber Technologies' outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Uber Technologies' value.

		Shares
Capital World Investors	2024-09-30	27.6 M
Edgewood Management Llc	2024-09-30	27.6 M
Norges Bank	2024-06-30	26.4 M
Amundi	2024-06-30	21.7 M
Jennison Associates Llc	2024-09-30	19.3 M
Brown Advisory Holdings Inc	2024-09-30	17.5 M
Northern Trust Corp	2024-09-30	17 M
Bank Of New York Mellon Corp	2024-06-30	16.5 M
Nuveen Asset Management, Llc	2024-06-30	16.1 M
Morgan Stanley - Brokerage Accounts	2024-06-30	195.7 M
Vanguard Group Inc	2024-09-30	178.4 M

Uber Fundamentals

	Return On Equity	0.34
	Return On Asset	0.0403
	Profit Margin	0.10 %
	Operating Margin	0.09 %
	Current Valuation	150.15 B
	Shares Outstanding	2.11 B
	Shares Owned By Insiders	0.10 %
	Shares Owned By Institutions	83.62 %
	Number Of Shares Shorted	49.71 M
	Price To Book	9.92 X
	Price To Sales	3.49 X
	Revenue	37.28 B
	Gross Profit	9.8 B
	EBITDA	1.93 B
	Net Income	1.89 B
	Cash And Equivalents	4.21 B
	Cash Per Share	2.44 X
	Total Debt	11.83 B
	Debt To Equity	1.52 %
	Current Ratio	1.04 X
	Book Value Per Share	7.02 X
	Cash Flow From Operations	3.58 B
	Short Ratio	2.83 X
	Earnings Per Share	2.03 X
	Price To Earnings To Growth	0.98 X
	Target Price	89.77
	Number Of Employees	30.8 K
	Beta	1.34
	Market Capitalization	146.56 B
	Total Asset	38.7 B
	Retained Earnings	(30.59 B)
	Working Capital	1.84 B
	Net Asset	38.7 B

About Uber Technologies Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Uber Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Uber Technologies using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Uber Technologies based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

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

0.56	VCSA	Vacasa Inc	Pair Corr
0.53	EB	Eventbrite Class A	Pair Corr
0.52	DV	DoubleVerify Holdings	Pair Corr
0.49	DMAN	Innovativ Media Group	Pair Corr
0.44	DTRK	DATATRAK International	Pair Corr

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 Correlation Correlation 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.

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