$12.76
+0.390 (+3.15%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $10.17 | $12.83 | Friday, 31st Jul 2026 PATH stock ended at $12.76. This is 3.15% more than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 5.42% from a day low at $12.16 to a day high of $12.82. |
| 90 days | $9.20 | $13.20 | |
| 52 weeks | $9.20 | $19.84 |
Historical UiPath Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | $12.27 | $12.82 | $12.16 | $12.76 | 39 792 404 |
| Jul 30, 2026 | $12.20 | $12.43 | $11.66 | $12.37 | 66 470 700 |
| Jul 29, 2026 | $12.17 | $12.83 | $12.13 | $12.59 | 60 630 317 |
| Jul 28, 2026 | $11.63 | $12.24 | $11.43 | $12.19 | 45 086 917 |
| Jul 27, 2026 | $11.15 | $11.69 | $11.12 | $11.62 | 53 778 633 |
| Jul 24, 2026 | $10.27 | $10.99 | $10.27 | $10.84 | 63 724 886 |
| Jul 23, 2026 | $10.77 | $10.96 | $10.17 | $10.20 | 44 620 069 |
| Jul 22, 2026 | $12.02 | $12.02 | $10.38 | $10.70 | 103 941 940 |
| Jul 21, 2026 | $11.90 | $12.48 | $11.79 | $12.04 | 175 349 853 |
| Jul 20, 2026 | $11.94 | $12.55 | $11.71 | $12.16 | 169 684 247 |
| Jul 17, 2026 | $12.02 | $12.44 | $11.92 | $12.15 | 90 610 126 |
| Jul 16, 2026 | $12.05 | $12.16 | $11.42 | $12.03 | 97 398 373 |
| Jul 15, 2026 | $12.08 | $12.42 | $11.83 | $11.95 | 125 422 708 |
| Jul 14, 2026 | $11.29 | $12.11 | $11.18 | $11.94 | 85 786 053 |
| Jul 13, 2026 | $11.75 | $12.18 | $11.65 | $11.85 | 90 814 719 |
| Jul 10, 2026 | $12.15 | $12.23 | $11.51 | $11.68 | 78 661 216 |
| Jul 09, 2026 | $11.08 | $11.87 | $10.92 | $11.80 | 98 073 136 |
| Jul 08, 2026 | $11.41 | $11.55 | $11.25 | $11.42 | 56 683 654 |
| Jul 07, 2026 | $12.19 | $12.32 | $11.56 | $11.65 | 73 273 736 |
| Jul 06, 2026 | $11.45 | $12.27 | $11.35 | $11.83 | 68 153 050 |
| Jul 02, 2026 | $11.36 | $11.78 | $11.30 | $11.71 | 58 368 571 |
| Jul 01, 2026 | $11.12 | $11.92 | $11.08 | $11.55 | 65 959 655 |
| Jun 30, 2026 | $10.52 | $11.04 | $10.48 | $10.87 | 62 525 390 |
| Jun 29, 2026 | $10.85 | $10.95 | $10.55 | $10.68 | 48 460 389 |
| Jun 26, 2026 | $9.91 | $10.59 | $9.87 | $10.53 | 65 942 395 |
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 PATH stock historical prices to predict future price movements?
Trend Analysis: Examine the PATH 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 PATH 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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