$556.71
+17.68 (+3.28%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $524.49 | $686.08 | Friday, 31st Jul 2026 META stock ended at $556.71. This is 3.28% more than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 3.35% from a day low at $540.24 to a day high of $558.33. |
| 90 days | $524.49 | $686.08 | |
| 52 weeks | $520.26 | $796.25 |
Historical Meta Platforms, Inc. (Formerly Facebook / FB) prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | $543.56 | $558.33 | $540.24 | $556.71 | 24 155 637 |
| Jul 30, 2026 | $525.74 | $539.88 | $524.49 | $539.03 | 42 028 145 |
| Jul 29, 2026 | $593.42 | $599.97 | $582.43 | $585.61 | 19 895 887 |
| Jul 28, 2026 | $595.90 | $601.00 | $587.00 | $593.41 | 10 870 647 |
| Jul 27, 2026 | $607.22 | $611.26 | $593.16 | $593.87 | 11 106 056 |
| Jul 24, 2026 | $605.34 | $609.98 | $594.60 | $595.19 | 11 309 789 |
| Jul 23, 2026 | $608.41 | $614.64 | $597.22 | $606.10 | 15 463 959 |
| Jul 22, 2026 | $647.70 | $649.00 | $624.01 | $627.17 | 10 616 447 |
| Jul 21, 2026 | $654.18 | $655.88 | $643.20 | $643.81 | 8 401 169 |
| Jul 20, 2026 | $646.70 | $653.30 | $636.01 | $645.85 | 9 924 164 |
| Jul 17, 2026 | $647.70 | $652.20 | $626.00 | $646.01 | 20 966 389 |
| Jul 16, 2026 | $678.61 | $681.90 | $660.16 | $664.54 | 15 736 700 |
| Jul 15, 2026 | $663.60 | $686.08 | $656.66 | $681.31 | 17 731 107 |
| Jul 14, 2026 | $652.00 | $666.50 | $649.05 | $661.04 | 13 244 016 |
| Jul 13, 2026 | $661.51 | $676.62 | $654.20 | $656.73 | 18 010 409 |
| Jul 10, 2026 | $660.34 | $677.85 | $658.01 | $669.21 | 39 408 342 |
| Jul 09, 2026 | $583.92 | $633.27 | $577.07 | $631.48 | 25 282 764 |
| Jul 08, 2026 | $614.39 | $616.00 | $598.03 | $603.12 | 13 311 707 |
| Jul 07, 2026 | $608.00 | $625.37 | $603.66 | $615.58 | 18 230 404 |
| Jul 06, 2026 | $594.84 | $603.50 | $581.76 | $600.29 | 15 913 106 |
| Jul 02, 2026 | $607.90 | $610.00 | $580.42 | $582.90 | 20 851 640 |
| Jul 01, 2026 | $607.91 | $628.28 | $595.10 | $612.91 | 45 057 181 |
| Jun 30, 2026 | $560.94 | $565.43 | $551.43 | $563.29 | 15 879 159 |
| Jun 29, 2026 | $560.00 | $570.90 | $558.00 | $562.60 | 15 109 648 |
| Jun 26, 2026 | $543.34 | $556.85 | $540.40 | $550.25 | 18 867 706 |
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 META stock historical prices to predict future price movements?
Trend Analysis: Examine the META 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 META 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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