$159.84
+6.65 (+4.34%)
At Close: Jul 28, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $141.88 | $160.00 | Tuesday, 28th Jul 2026 SN stock ended at $159.84. This is 4.34% more than the trading day before Monday, 27th Jul 2026. During the day the stock fluctuated 4.44% from a day low at $153.20 to a day high of $160.00. |
| 90 days | $100.10 | $160.00 | |
| 52 weeks | $83.12 | $160.00 |
Historical SharkNinja, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 28, 2026 | $153.20 | $160.00 | $153.20 | $159.84 | 1 239 447 |
| Jul 27, 2026 | $151.16 | $154.26 | $151.16 | $153.19 | 1 295 451 |
| Jul 24, 2026 | $146.06 | $149.40 | $144.84 | $148.60 | 1 198 906 |
| Jul 23, 2026 | $143.82 | $147.88 | $141.88 | $145.83 | 2 002 551 |
| Jul 22, 2026 | $148.13 | $148.36 | $143.36 | $147.11 | 1 471 847 |
| Jul 21, 2026 | $152.22 | $153.61 | $147.48 | $147.82 | 2 129 845 |
| Jul 20, 2026 | $156.19 | $156.37 | $150.83 | $152.83 | 1 248 664 |
| Jul 17, 2026 | $152.84 | $156.79 | $152.72 | $154.53 | 1 708 188 |
| Jul 16, 2026 | $149.23 | $154.43 | $149.23 | $154.21 | 762 413 |
| Jul 15, 2026 | $151.02 | $153.08 | $149.98 | $150.05 | 853 613 |
| Jul 14, 2026 | $152.70 | $152.71 | $148.31 | $149.89 | 1 421 949 |
| Jul 13, 2026 | $152.83 | $154.29 | $149.07 | $149.79 | 1 130 361 |
| Jul 10, 2026 | $150.66 | $153.49 | $149.30 | $152.65 | 973 996 |
| Jul 09, 2026 | $148.64 | $150.33 | $146.38 | $148.81 | 604 715 |
| Jul 08, 2026 | $146.76 | $147.38 | $143.26 | $146.49 | 1 170 955 |
| Jul 07, 2026 | $149.18 | $151.92 | $148.11 | $150.94 | 1 444 447 |
| Jul 06, 2026 | $153.21 | $154.00 | $148.14 | $148.92 | 1 186 952 |
| Jul 02, 2026 | $151.51 | $154.04 | $150.13 | $151.47 | 2 146 309 |
| Jul 01, 2026 | $151.07 | $152.55 | $150.00 | $151.84 | 1 560 207 |
| Jun 30, 2026 | $146.18 | $152.40 | $145.35 | $152.27 | 1 600 693 |
| Jun 29, 2026 | $144.93 | $146.42 | $142.73 | $146.38 | 1 360 000 |
| Jun 26, 2026 | $141.43 | $145.42 | $140.84 | $145.10 | 518 554 |
| Jun 25, 2026 | $141.97 | $145.89 | $140.55 | $142.85 | 1 282 782 |
| Jun 24, 2026 | $136.09 | $142.00 | $136.09 | $140.19 | 1 147 868 |
| Jun 23, 2026 | $136.33 | $137.60 | $134.43 | $134.90 | 1 227 924 |
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 SN stock historical prices to predict future price movements?
Trend Analysis: Examine the SN 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 SN 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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