$39.63
+1.59 (+4.18%)
At Close: Jun 18, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $32.83 | $48.94 | Wednesday, 18th Jun 2025 IONQ stock ended at $39.63. This is 4.18% more than the trading day before Tuesday, 17th Jun 2025. During the day the stock fluctuated 6.31% from a day low at $37.31 to a day high of $39.67. |
90 days | $18.81 | $48.94 | |
52 weeks | $6.22 | $54.74 |
Historical IonQ, Inc. prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Jun 18, 2025 | $37.52 | $39.67 | $37.31 | $39.63 | 18 124 723 |
Jun 17, 2025 | $37.86 | $38.66 | $36.86 | $38.04 | 18 701 242 |
Jun 16, 2025 | $37.24 | $39.25 | $36.03 | $38.43 | 27 880 268 |
Jun 13, 2025 | $37.59 | $39.83 | $37.44 | $37.84 | 18 258 725 |
Jun 12, 2025 | $39.49 | $40.86 | $38.64 | $38.71 | 18 905 537 |
Jun 11, 2025 | $41.59 | $43.96 | $38.94 | $39.70 | 53 082 796 |
Jun 10, 2025 | $40.64 | $44.05 | $39.48 | $39.74 | 30 765 491 |
Jun 09, 2025 | $42.54 | $42.55 | $38.86 | $40.06 | 34 606 398 |
Jun 06, 2025 | $37.67 | $39.95 | $36.80 | $39.02 | 14 881 342 |
Jun 05, 2025 | $39.10 | $39.25 | $35.93 | $36.66 | 16 891 036 |
Jun 04, 2025 | $40.04 | $40.15 | $37.93 | $39.64 | 11 998 360 |
Jun 03, 2025 | $41.74 | $42.39 | $39.54 | $39.81 | 11 378 941 |
Jun 02, 2025 | $40.01 | $41.07 | $38.35 | $40.57 | 15 175 769 |
May 30, 2025 | $40.46 | $41.61 | $39.30 | $40.34 | 26 961 970 |
May 29, 2025 | $48.00 | $48.82 | $42.96 | $43.20 | 25 205 065 |
May 28, 2025 | $46.00 | $48.94 | $44.65 | $47.56 | 28 606 124 |
May 27, 2025 | $41.96 | $48.07 | $43.60 | $48.04 | 29 947 689 |
May 23, 2025 | $41.96 | $47.87 | $41.05 | $45.69 | 53 626 103 |
May 22, 2025 | $33.82 | $48.82 | $33.73 | $45.79 | 104 097 468 |
May 21, 2025 | $35.08 | $36.61 | $33.34 | $33.54 | 21 081 248 |
May 20, 2025 | $35.89 | $35.97 | $34.20 | $35.31 | 17 589 444 |
May 19, 2025 | $33.60 | $35.14 | $32.83 | $35.09 | 12 415 402 |
May 16, 2025 | $33.52 | $35.15 | $32.97 | $34.99 | 16 201 284 |
May 15, 2025 | $33.04 | $34.39 | $32.23 | $32.54 | 10 537 095 |
May 14, 2025 | $33.70 | $35.29 | $32.76 | $33.41 | 18 552 522 |
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.