Uber Technologies Stock Five Year Return

UT8 Stock   58.70  0.76  1.31%   
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.
  
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Uber Technologies Company Five Year Return Analysis

Uber Technologies' Five Year Return is considered one of the best measures to evaluate fund performance, especially from the mid and long term perspective. It shows the total annualized return generated from holding equity for the last five years and represents capital appreciation of the investment, including all dividends, losses, and capital gains distributions.

Five Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Five Year Return | All Equity Analysis
Although Five Year Returns can give a sense of overall investment potential, it is recommended to compare equity performance with similar assets for the same five year time interval. Similarly, comparing overall investment performance over the last five years with the appropriate market index is a great way to determine how this equity instrument will perform during unforeseen market fluctuations.
Competition

According to the company disclosure, Uber Technologies has a Five Year Return of 0.0%. This indicator is about the same for the Technology average (which is currently at 0.0) sector and about the same as Software-Application (which currently averages 0.0) industry. This indicator is about the same for all Germany stocks average (which is currently at 0.0).

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Uber Fundamentals

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.

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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.