Uber Technologies Stock Price on September 18, 2024
| UBER Stock | USD 76.01 1.80 2.43% |
Below is the normalized historical share price chart for Uber Technologies extending back to May 09, 2019. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Uber Technologies stands at 76.01, as last reported on the 1st of March, with the highest price reaching 76.11 and the lowest price hitting 73.58 during the day.
If you're considering investing in Uber Stock, it is important to understand the factors that can impact its price. Currently, Uber Technologies is very steady. Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.037, which indicates the firm had a 0.037 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Uber Technologies, which you can use to evaluate the volatility of the company. Please validate Uber Technologies' Risk Adjusted Performance of 0.0523, semi deviation of 2.78, and Coefficient Of Variation of 1639.49 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%.
As of 03/01/2025, Total Stockholder Equity is likely to grow to about 22.6 B, while Common Stock Shares Outstanding is likely to drop slightly above 1.8 B. . At this time, Uber Technologies' Price Earnings Ratio is relatively stable compared to the past year. As of 03/01/2025, Price To Operating Cash Flows Ratio is likely to grow to 18.59, while Price Book Value Ratio is likely to drop 4.19. Uber Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
IPO Date 10th of May 2019 | 200 Day MA 70.3614 | 50 Day MA 68.5954 | Beta 1.387 |
Uber |
Sharpe Ratio = 0.037
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Estimated Market Risk
| 2.9 actual daily | 25 75% of assets are more volatile |
Expected Return
| 0.11 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
| 0.04 actual daily | 2 98% of assets perform better |
Based on monthly moving average Uber Technologies is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Uber Technologies by adding it to a well-diversified portfolio.
Price Book 7.3655 | Enterprise Value Ebitda 30.2571 | Price Sales 3.6106 | Shares Float 2.1 B | Wall Street Target Price 89.0042 |
Uber Technologies Valuation on September 18, 2024
It is possible to determine the worth of Uber Technologies on a given historical date. On September 18, 2024 Uber was worth 72.77 at the beginning of the trading date compared to the closed value of 73.5. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Uber Technologies stock. Still, in general, we apply an absolute valuation method to find Uber Technologies' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Uber Technologies where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Uber Technologies' related companies.
| Open | High | Low | Close | Volume | |
| 71.97 | 73.73 | 71.31 | 72.78 | 14,639,820 | |
09/18/2024 | 72.77 | 74.74 | 72.19 | 73.50 | 11,720,930 |
| 74.98 | 76.46 | 74.56 | 75.28 | 17,698,449 |
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Uber Technologies Trading Date Momentum on September 18, 2024
| On September 19 2024 Uber Technologies was traded for 75.28 at the closing time. The top price for the day was 76.46 and the lowest listed price was 74.56 . The trading volume for the day was 17.7 M. The trading history from September 19, 2024 was a factor to the next trading day price gain. The trading price change against the next closing price was 2.42% . The trading price change against the current closing price is 2.48% . |
Uber Technologies Fundamentals Correlations and Trends
By evaluating Uber Technologies' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Uber Technologies' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Uber financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Uber Technologies Stock history
Uber Technologies investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Uber is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Uber Technologies will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Uber Technologies stock prices may prove useful in developing a viable investing in Uber Technologies
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 2.2 B | 1.8 B | |
| Net Loss | -8.2 B | -7.8 B |
Uber Technologies Stock Technical Analysis
Uber Technologies technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Uber Technologies Period Price Range
Low | March 1, 2025
| High |
0.00 | 0.00 |
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Uber Technologies March 1, 2025 Market Strength
Market strength indicators help investors to evaluate how Uber Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uber Technologies shares will generate the highest return on investment. By undertsting and applying Uber Technologies stock market strength indicators, traders can identify Uber Technologies entry and exit signals to maximize returns
Uber Technologies Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Uber Technologies' price direction in advance. Along with the technical and fundamental analysis of Uber Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Uber to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0523 | |||
| Jensen Alpha | 0.1632 | |||
| Total Risk Alpha | 0.2504 | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 3.78 |
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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.