| 0A1U Stock | | | USD 72.15 2.95 4.26% |
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. Check out
Trending Equities 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 board of governors.
For more information on how to buy Uber Stock please use our
How to buy in Uber Stock guide.
At this time, it appears that Uber Technologies' Piotroski F Score is Inapplicable. 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..
0.0
Piotroski F Score - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
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 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.
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.
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectWhen determining whether Uber Technologies is a strong investment it is important to analyze Uber Technologies' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Uber Technologies'
future performance.
For an informed investment choice regarding Uber Stock, refer to the following important reports: Check out
Trending Equities 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 board of governors.
For more information on how to buy Uber Stock please use our
How to buy in Uber Stock guide.
You can also try the
Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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 if Uber Technologies is a good investment 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.