$74.54
+0.190 (+0.256%)
At Close: Jul 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $67.19 | $77.76 | Friday, 10th Jul 2026 UBER stock ended at $74.54. This is 0.256% more than the trading day before Thursday, 9th Jul 2026. During the day the stock fluctuated 2.32% from a day low at $74.48 to a day high of $76.21. |
| 90 days | $67.19 | $80.83 | |
| 52 weeks | $67.19 | $101.99 |
Historical Uber Technologies, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 10, 2026 | $74.68 | $76.21 | $74.48 | $74.54 | 9 648 744 |
| Jul 09, 2026 | $72.50 | $74.36 | $72.31 | $74.35 | 8 233 449 |
| Jul 08, 2026 | $73.87 | $74.77 | $72.58 | $73.60 | 9 983 422 |
| Jul 07, 2026 | $73.59 | $74.85 | $73.32 | $74.33 | 15 531 292 |
| Jul 06, 2026 | $74.38 | $74.56 | $71.86 | $72.42 | 15 395 743 |
| Jul 02, 2026 | $72.79 | $74.46 | $72.33 | $74.43 | 13 722 779 |
| Jul 01, 2026 | $72.23 | $73.80 | $71.66 | $72.66 | 10 821 758 |
| Jun 30, 2026 | $75.20 | $75.20 | $71.83 | $72.16 | 22 797 980 |
| Jun 29, 2026 | $76.00 | $77.76 | $74.20 | $75.50 | 25 916 781 |
| Jun 26, 2026 | $72.70 | $76.39 | $72.45 | $76.20 | 21 964 563 |
| Jun 25, 2026 | $74.26 | $74.55 | $72.11 | $72.25 | 12 479 371 |
| Jun 24, 2026 | $70.30 | $75.74 | $69.70 | $73.85 | 29 069 529 |
| Jun 23, 2026 | $71.50 | $71.56 | $69.57 | $69.67 | 19 027 449 |
| Jun 22, 2026 | $71.46 | $72.45 | $70.85 | $71.43 | 15 390 413 |
| Jun 18, 2026 | $71.97 | $72.49 | $70.78 | $71.64 | 25 844 197 |
| Jun 17, 2026 | $73.39 | $73.39 | $70.91 | $70.91 | 12 787 561 |
| Jun 16, 2026 | $73.28 | $74.29 | $72.77 | $73.25 | 14 767 154 |
| Jun 15, 2026 | $70.62 | $73.48 | $70.50 | $72.85 | 20 680 166 |
| Jun 12, 2026 | $70.02 | $70.23 | $67.40 | $68.85 | 19 566 427 |
| Jun 11, 2026 | $68.23 | $69.56 | $67.19 | $69.55 | 20 813 030 |
| Jun 10, 2026 | $70.09 | $70.37 | $68.61 | $68.61 | 21 126 152 |
| Jun 09, 2026 | $70.28 | $71.45 | $69.50 | $70.38 | 19 134 633 |
| Jun 08, 2026 | $70.41 | $70.94 | $69.97 | $70.06 | 15 949 825 |
| Jun 05, 2026 | $71.84 | $72.53 | $70.31 | $70.71 | 18 532 330 |
| Jun 04, 2026 | $72.65 | $73.54 | $71.72 | $72.21 | 17 576 600 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use UBER stock historical prices to predict future price movements?
Trend Analysis: Examine the UBER stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the UBER stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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