$412.09
+8.81 (+2.18%)
At Close: Jul 02, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $364.81 | $412.21 | Thursday, 2nd Jul 2026 SNA stock ended at $412.09. This is 2.18% more than the trading day before Wednesday, 1st Jul 2026. During the day the stock fluctuated 2.36% from a day low at $402.69 to a day high of $412.21. |
| 90 days | $355.52 | $412.21 | |
| 52 weeks | $310.23 | $412.21 |
Historical Snap-On Incorporated prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 02, 2026 | $404.28 | $412.21 | $402.69 | $412.09 | 414 182 |
| Jul 01, 2026 | $401.24 | $406.13 | $397.04 | $403.28 | 227 059 |
| Jun 30, 2026 | $400.00 | $404.46 | $398.11 | $402.40 | 275 357 |
| Jun 29, 2026 | $394.65 | $398.40 | $393.49 | $398.36 | 272 680 |
| Jun 26, 2026 | $398.15 | $400.95 | $395.01 | $397.10 | 199 313 |
| Jun 25, 2026 | $395.38 | $403.00 | $393.20 | $400.95 | 254 217 |
| Jun 24, 2026 | $387.34 | $395.30 | $385.00 | $392.14 | 255 842 |
| Jun 23, 2026 | $387.61 | $391.08 | $384.22 | $385.85 | 378 202 |
| Jun 22, 2026 | $385.15 | $391.92 | $383.22 | $390.70 | 176 888 |
| Jun 18, 2026 | $384.43 | $390.36 | $382.71 | $387.25 | 876 576 |
| Jun 17, 2026 | $389.09 | $392.00 | $379.54 | $381.26 | 207 581 |
| Jun 16, 2026 | $388.00 | $392.97 | $387.47 | $389.39 | 306 865 |
| Jun 15, 2026 | $391.01 | $393.87 | $386.33 | $386.63 | 218 169 |
| Jun 12, 2026 | $387.09 | $390.22 | $381.43 | $387.48 | 182 345 |
| Jun 11, 2026 | $381.37 | $387.00 | $379.16 | $384.67 | 249 544 |
| Jun 10, 2026 | $387.69 | $390.25 | $377.58 | $378.45 | 233 405 |
| Jun 09, 2026 | $384.20 | $389.07 | $382.26 | $387.26 | 232 195 |
| Jun 08, 2026 | $379.24 | $384.04 | $377.50 | $380.65 | 210 107 |
| Jun 05, 2026 | $377.44 | $383.53 | $377.23 | $379.77 | 307 900 |
| Jun 04, 2026 | $380.05 | $382.10 | $377.25 | $378.90 | 247 220 |
| Jun 03, 2026 | $373.64 | $378.29 | $371.63 | $377.39 | 236 100 |
| Jun 02, 2026 | $365.96 | $372.80 | $364.81 | $372.45 | 226 614 |
| Jun 01, 2026 | $366.07 | $369.12 | $363.00 | $366.45 | 225 213 |
| May 29, 2026 | $372.01 | $374.69 | $371.21 | $371.21 | 243 412 |
| May 28, 2026 | $372.50 | $375.00 | $368.35 | $374.46 | 187 224 |
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 SNA stock historical prices to predict future price movements?
Trend Analysis: Examine the SNA 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 SNA 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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