Uber Technologies Piotroski F Score

UBER
 Stock
  

USD 32.40  0.16  0.50%   

This module uses fundamental data of Uber Technologies to approximate its Piotroski F score. Uber Technologies F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Uber Technologies. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Uber Technologies financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Also, please take a look at Uber Technologies Altman Z Score, Uber Technologies Correlation, Uber Technologies Valuation, as well as analyze Uber Technologies Alpha and Beta and Uber Technologies Hype Analysis.
  
As of 08/12/2022, Long Term Debt to Equity is likely to grow to 0.74. Also, Debt to Equity Ratio is likely to grow to 0.75. Uber Technologies Asset Turnover is relatively stable at the moment as compared to the past year. Uber Technologies reported last year Asset Turnover of 0.48. As of 08/12/2022, Current Ratio is likely to grow to 1.52, while Cash and Equivalents Turnover is likely to drop 2.56.
At this time, it appears that Uber Technologies' Piotroski F Score is Frail. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
3.0
Piotroski F Score - Frail
1
Current Return On AssetsNegativeFocus
2
Change in Return on AssetsDecreasedFocus
3
Cash Flow Return on AssetsNegativeFocus
4
Current Quality of Earnings (accrual)ImprovingFocus
5
Asset Turnover GrowthIncreaseFocus
6
Current Ratio ChangeIncreaseFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesIncreaseFocus
9
Change in Gross MarginNo ChangeFocus

Uber Technologies Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Uber Technologies is to make sure Uber Technologies is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Uber Technologies' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Uber Technologies' financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average SharesB1.9 B
Significantly Up
Increasing
Slightly volatile
Weighted Average Shares DilutedB1.9 B
Significantly Up
Increasing
Slightly volatile
Total Assets32.5 B38.8 B
Fairly Down
Increasing
Slightly volatile
Total Liabilities20.5 B24.3 B
Fairly Down
Increasing
Slightly volatile
Current Assets8.7 B8.8 B
Fairly Down
Increasing
Slightly volatile
Current Liabilities7.2 BB
Significantly Down
Increasing
Slightly volatile
Return on Average Assets(1.49)(1.3773)
Significantly Down
Decreasing
Slightly volatile
Gross Margin44.7146.428
Sufficiently Down
Increasing
Slightly volatile
Asset Turnover0.530.4847
Significantly Up
Decreasing
Slightly volatile

Uber Technologies F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Uber Technologies' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Uber Technologies in a much-optimized way.

About Uber Technologies Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Long Term Debt to Equity

0.74

Uber Technologies Long Term Debt to Equity is relatively stable at the moment as compared to the past year. Uber Technologies reported last year Long Term Debt to Equity of 0.64

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.
Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin America, Europe, the Middle East, Africa, and the Asia Pacific. Uber Technologies, Inc. was founded in 2009 and is headquartered in San Francisco, California. Uber Technologies operates under SoftwareApplication classification in the United States and is traded on New York Stock Exchange. It employs 30900 people.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Uber Technologies without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Also, please take a look at Uber Technologies Altman Z Score, Uber Technologies Correlation, Uber Technologies Valuation, as well as analyze Uber Technologies Alpha and Beta and Uber Technologies Hype Analysis. Note that the Uber Technologies information on this page should be used as a complementary analysis to other Uber Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Commodity Channel Index module to use Commodity Channel Index to analyze current equity momentum.

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Is Uber Technologies' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Uber Technologies. If investors know Uber Technologies will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Uber Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Market Capitalization
65.8 B
Quarterly Revenue Growth YOY
1.06
Return On Assets
-0.0431
Return On Equity
-0.87
The market value of Uber Technologies is measured differently than its book value, which is the value of Uber Technologies that is recorded on the company's balance sheet. Investors also form their own opinion of Uber Technologies' value that differs from its market value or its book value, called intrinsic value, which is Uber Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Uber Technologies' market value can be influenced by many factors that don't directly affect Uber Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Uber Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine Uber Technologies value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Uber Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.