$35.77
+3.78 (+11.82%)
At Close: Jul 30, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $31.81 | $54.84 | Thursday, 30th Jul 2026 IONQ stock ended at $35.77. This is 11.82% more than the trading day before Wednesday, 29th Jul 2026. During the day the stock fluctuated 9.64% from a day low at $33.00 to a day high of $36.18. |
| 90 days | $31.81 | $73.65 | |
| 52 weeks | $25.89 | $84.64 |
Historical IonQ, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 30, 2026 | $33.17 | $36.18 | $33.00 | $35.77 | 17 681 232 |
| Jul 29, 2026 | $33.72 | $34.32 | $31.81 | $31.99 | 21 830 722 |
| Jul 28, 2026 | $34.18 | $34.65 | $32.12 | $33.88 | 19 811 002 |
| Jul 27, 2026 | $34.47 | $37.17 | $34.30 | $35.92 | 28 154 533 |
| Jul 24, 2026 | $34.10 | $34.30 | $32.56 | $32.84 | 14 744 871 |
| Jul 23, 2026 | $34.00 | $35.52 | $33.57 | $34.07 | 17 573 939 |
| Jul 22, 2026 | $34.89 | $35.99 | $34.66 | $34.68 | 12 874 810 |
| Jul 21, 2026 | $35.46 | $36.06 | $34.70 | $35.51 | 17 158 215 |
| Jul 20, 2026 | $35.05 | $36.30 | $34.21 | $34.24 | 16 392 344 |
| Jul 17, 2026 | $34.91 | $35.91 | $33.29 | $34.78 | 23 845 271 |
| Jul 16, 2026 | $37.00 | $37.24 | $34.67 | $35.10 | 24 352 451 |
| Jul 15, 2026 | $40.00 | $40.06 | $36.86 | $37.51 | 20 320 642 |
| Jul 14, 2026 | $40.04 | $40.44 | $38.75 | $39.29 | 17 191 181 |
| Jul 13, 2026 | $42.07 | $42.18 | $38.63 | $38.88 | 23 643 818 |
| Jul 10, 2026 | $45.04 | $45.42 | $42.40 | $42.86 | 14 434 112 |
| Jul 09, 2026 | $45.50 | $45.99 | $44.37 | $44.77 | 12 981 158 |
| Jul 08, 2026 | $44.44 | $46.22 | $43.72 | $45.08 | 15 104 222 |
| Jul 07, 2026 | $47.54 | $47.95 | $44.02 | $45.36 | 18 655 258 |
| Jul 06, 2026 | $49.74 | $51.33 | $48.79 | $48.87 | 12 441 704 |
| Jul 02, 2026 | $51.11 | $54.40 | $48.18 | $49.12 | 16 927 210 |
| Jul 01, 2026 | $52.18 | $54.76 | $51.40 | $51.40 | 12 436 980 |
| Jun 30, 2026 | $52.70 | $54.84 | $52.40 | $53.26 | 13 306 155 |
| Jun 29, 2026 | $50.62 | $54.20 | $49.65 | $53.88 | 22 763 156 |
| Jun 26, 2026 | $49.65 | $52.48 | $48.74 | $49.31 | 25 739 433 |
| Jun 25, 2026 | $54.63 | $55.08 | $50.16 | $50.56 | 21 720 626 |
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 IONQ stock historical prices to predict future price movements?
Trend Analysis: Examine the IONQ 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 IONQ 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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