$6.84
+0.360 (+5.56%)
At Close: Jul 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $6.14 | $7.81 | Friday, 10th Jul 2026 PACK stock ended at $6.84. This is 5.56% more than the trading day before Thursday, 9th Jul 2026. During the day the stock fluctuated 7.03% from a day low at $6.47 to a day high of $6.93. |
| 90 days | $3.62 | $7.81 | |
| 52 weeks | $3.22 | $7.81 |
Historical Ranpak Holdings Corp. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 10, 2026 | $6.53 | $6.93 | $6.47 | $6.84 | 266 882 |
| Jul 09, 2026 | $6.29 | $6.51 | $6.27 | $6.48 | 229 233 |
| Jul 08, 2026 | $6.35 | $6.35 | $6.14 | $6.18 | 258 626 |
| Jul 07, 2026 | $6.51 | $6.51 | $6.25 | $6.48 | 414 103 |
| Jul 06, 2026 | $6.62 | $6.75 | $6.49 | $6.61 | 363 997 |
| Jul 02, 2026 | $6.96 | $7.00 | $6.49 | $6.55 | 464 378 |
| Jul 01, 2026 | $7.17 | $7.17 | $6.88 | $6.91 | 304 979 |
| Jun 30, 2026 | $7.14 | $7.38 | $7.14 | $7.31 | 343 902 |
| Jun 29, 2026 | $7.17 | $7.28 | $7.02 | $7.17 | 411 696 |
| Jun 26, 2026 | $7.16 | $7.38 | $7.09 | $7.31 | 801 992 |
| Jun 25, 2026 | $7.73 | $7.80 | $7.23 | $7.24 | 562 208 |
| Jun 24, 2026 | $7.30 | $7.70 | $7.24 | $7.64 | 981 902 |
| Jun 23, 2026 | $7.04 | $7.42 | $7.00 | $7.22 | 694 814 |
| Jun 22, 2026 | $7.34 | $7.43 | $7.17 | $7.27 | 380 146 |
| Jun 18, 2026 | $7.36 | $7.50 | $7.21 | $7.34 | 725 678 |
| Jun 17, 2026 | $7.52 | $7.60 | $7.16 | $7.22 | 451 872 |
| Jun 16, 2026 | $7.68 | $7.81 | $7.35 | $7.46 | 916 724 |
| Jun 15, 2026 | $7.56 | $7.77 | $7.47 | $7.60 | 475 620 |
| Jun 12, 2026 | $7.23 | $7.40 | $7.13 | $7.30 | 406 632 |
| Jun 11, 2026 | $6.82 | $7.17 | $6.76 | $7.14 | 318 644 |
| Jun 10, 2026 | $6.98 | $7.05 | $6.59 | $6.72 | 352 120 |
| Jun 09, 2026 | $7.03 | $7.16 | $6.64 | $6.94 | 337 179 |
| Jun 08, 2026 | $6.89 | $7.01 | $6.80 | $6.83 | 255 413 |
| Jun 05, 2026 | $6.72 | $6.88 | $6.64 | $6.79 | 325 342 |
| Jun 04, 2026 | $6.99 | $6.99 | $6.71 | $6.88 | 303 937 |
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 PACK stock historical prices to predict future price movements?
Trend Analysis: Examine the PACK 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 PACK 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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