$261.45
-6.04 (-2.26%)
At Close: Jul 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $217.48 | $274.92 | Friday, 10th Jul 2026 SNOW stock ended at $261.45. This is 2.26% less than the trading day before Thursday, 9th Jul 2026. During the day the stock fluctuated 6.42% from a day low at $258.34 to a day high of $274.92. |
| 90 days | $121.30 | $284.99 | |
| 52 weeks | $118.30 | $284.99 |
Historical Snowflake Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 10, 2026 | $271.99 | $274.92 | $258.34 | $261.45 | 3 727 496 |
| Jul 09, 2026 | $255.81 | $267.87 | $253.00 | $267.49 | 3 699 552 |
| Jul 08, 2026 | $259.23 | $263.97 | $254.89 | $261.31 | 4 098 305 |
| Jul 07, 2026 | $266.35 | $270.95 | $262.42 | $262.74 | 5 527 178 |
| Jul 06, 2026 | $254.20 | $266.00 | $253.05 | $262.09 | 3 799 362 |
| Jul 02, 2026 | $256.58 | $264.87 | $254.16 | $260.15 | 8 090 614 |
| Jul 01, 2026 | $258.56 | $263.08 | $254.66 | $261.19 | 4 587 738 |
| Jun 30, 2026 | $249.80 | $255.00 | $246.01 | $254.50 | 4 100 528 |
| Jun 29, 2026 | $250.96 | $254.85 | $247.13 | $251.65 | 7 489 757 |
| Jun 26, 2026 | $225.27 | $250.00 | $222.45 | $248.96 | 9 785 021 |
| Jun 25, 2026 | $223.00 | $232.04 | $217.48 | $227.06 | 4 389 109 |
| Jun 24, 2026 | $229.35 | $234.33 | $224.26 | $225.95 | 4 305 543 |
| Jun 23, 2026 | $225.23 | $233.48 | $221.24 | $230.41 | 4 433 172 |
| Jun 22, 2026 | $229.44 | $241.68 | $225.19 | $226.59 | 5 976 304 |
| Jun 18, 2026 | $232.75 | $233.76 | $219.69 | $232.29 | 7 452 422 |
| Jun 17, 2026 | $237.43 | $241.30 | $230.62 | $234.52 | 6 141 619 |
| Jun 16, 2026 | $240.00 | $246.77 | $234.35 | $238.32 | 3 962 433 |
| Jun 15, 2026 | $236.30 | $244.63 | $230.15 | $240.78 | 5 049 567 |
| Jun 12, 2026 | $240.50 | $242.80 | $230.44 | $232.78 | 7 672 562 |
| Jun 11, 2026 | $237.77 | $243.83 | $232.89 | $240.39 | 7 794 029 |
| Jun 10, 2026 | $235.52 | $248.64 | $232.52 | $239.90 | 6 144 539 |
| Jun 09, 2026 | $239.00 | $246.00 | $229.60 | $239.66 | 5 715 388 |
| Jun 08, 2026 | $239.80 | $247.19 | $238.02 | $240.45 | 4 914 647 |
| Jun 05, 2026 | $242.20 | $247.55 | $235.00 | $238.26 | 7 162 806 |
| Jun 04, 2026 | $244.30 | $253.01 | $241.47 | $244.18 | 9 532 200 |
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 SNOW stock historical prices to predict future price movements?
Trend Analysis: Examine the SNOW 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 SNOW 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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