$138.83
+4.21 (+3.13%)
At Close: Jul 21, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $129.09 | $177.28 | Tuesday, 21st Jul 2026 Q stock ended at $138.83. This is 3.13% more than the trading day before Monday, 20th Jul 2026. During the day the stock fluctuated 2.63% from a day low at $136.50 to a day high of $140.09. |
| 90 days | $129.09 | $177.28 | |
| 52 weeks | $72.82 | $177.28 |
Historical Qnity Electronics, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 21, 2026 | $138.92 | $140.09 | $136.50 | $138.83 | 1 012 107 |
| Jul 20, 2026 | $138.61 | $139.55 | $134.28 | $134.62 | 889 973 |
| Jul 17, 2026 | $130.45 | $139.87 | $129.09 | $136.35 | 2 233 767 |
| Jul 16, 2026 | $136.85 | $138.66 | $134.10 | $135.56 | 1 975 075 |
| Jul 15, 2026 | $143.62 | $144.36 | $133.51 | $140.23 | 1 360 411 |
| Jul 14, 2026 | $145.80 | $147.88 | $140.01 | $141.67 | 1 274 209 |
| Jul 13, 2026 | $140.71 | $143.60 | $138.75 | $140.98 | 1 603 264 |
| Jul 10, 2026 | $141.19 | $145.36 | $139.70 | $143.80 | 1 076 810 |
| Jul 09, 2026 | $149.10 | $150.56 | $143.03 | $143.46 | 1 565 121 |
| Jul 08, 2026 | $139.74 | $144.49 | $137.90 | $142.25 | 1 915 796 |
| Jul 07, 2026 | $140.17 | $142.75 | $134.67 | $140.54 | 2 524 421 |
| Jul 06, 2026 | $147.99 | $152.89 | $145.51 | $146.68 | 1 909 828 |
| Jul 02, 2026 | $153.74 | $156.60 | $139.39 | $141.75 | 2 792 318 |
| Jul 01, 2026 | $158.85 | $162.38 | $152.97 | $153.49 | 1 358 573 |
| Jun 30, 2026 | $158.05 | $165.23 | $158.05 | $163.40 | 1 887 975 |
| Jun 29, 2026 | $158.00 | $161.45 | $149.29 | $158.29 | 607 604 |
| Jun 26, 2026 | $161.23 | $162.52 | $155.50 | $158.03 | 11 482 |
| Jun 25, 2026 | $166.00 | $169.98 | $159.47 | $167.54 | 1 353 610 |
| Jun 24, 2026 | $162.16 | $165.59 | $156.16 | $158.73 | 1 760 579 |
| Jun 23, 2026 | $163.98 | $167.13 | $160.08 | $161.30 | 926 739 |
| Jun 22, 2026 | $174.96 | $177.28 | $170.41 | $175.64 | 3 031 639 |
| Jun 18, 2026 | $160.45 | $170.07 | $159.50 | $168.98 | 5 415 967 |
| Jun 17, 2026 | $156.20 | $162.85 | $156.20 | $156.72 | 2 255 853 |
| Jun 16, 2026 | $159.44 | $160.54 | $152.21 | $152.24 | 1 363 355 |
| Jun 15, 2026 | $157.40 | $161.83 | $153.80 | $161.02 | 1 300 105 |
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 Q stock historical prices to predict future price movements?
Trend Analysis: Examine the Q 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 Q 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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