Uber Technologies Z Score vs. Price To Sales

UT8 Stock   69.03  0.38  0.55%   
Based on Uber Technologies' profitability indicators, Uber Technologies may not be well positioned to generate adequate gross income at the moment. It has a very high risk of underperforming in December. Profitability indicators assess Uber Technologies' ability to earn profits and add value for shareholders.
For Uber Technologies profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Uber Technologies to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Uber Technologies utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Uber Technologies's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Uber Technologies over time as well as its relative position and ranking within its peers.
  
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For more information on how to buy Uber Stock please use our How to Invest in Uber Technologies guide.
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.

Uber Technologies Price To Sales vs. Z Score Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining Uber Technologies's current stock value. Our valuation model uses many indicators to compare Uber Technologies value to that of its competitors to determine the firm's financial worth.
Uber Technologies is rated below average in z score category among its peers. It also is rated below average in price to sales category among its peers fabricating about  0.51  of Price To Sales per Z Score. The ratio of Z Score to Price To Sales for Uber Technologies is roughly  1.96 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Uber Technologies' earnings, one of the primary drivers of an investment's value.

Uber Price To Sales vs. Z Score

Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..

Uber Technologies

Z Score

 = 

Sum Of

5 Factors

 = 
3.6
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.

Uber Technologies

P/S

 = 

MV Per Share

Revenue Per Share

 = 
1.84 X
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.

Uber Price To Sales Comparison

Uber Technologies is currently under evaluation in price to sales category among its peers.

Uber Profitability Driver Comparison

Profitability drivers are factors that can directly affect your investment outlook on Uber Technologies. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Uber Technologies position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Uber Technologies' important profitability drivers and their relationship over time.

Use Uber Technologies in pair-trading

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.

Uber Technologies Pair Trading

Uber Technologies Pair Trading Analysis

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

Use Investing Themes to Complement your Uber Technologies position

In addition to having Uber Technologies in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Rubber and Plastic Products
Rubber and Plastic Products Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Rubber and Plastic Products theme has 27 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Rubber and Plastic Products Theme or any other thematic opportunities.
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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.