$84.59
+0.470 (+0.559%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $82.16 | $86.35 | Monday, 13th Jul 2026 XLP stock ended at $84.59. This is 0.559% more than the trading day before Friday, 10th Jul 2026. During the day the stock fluctuated 1.38% from a day low at $84.38 to a day high of $85.54. |
| 90 days | $80.46 | $86.70 | |
| 52 weeks | $75.16 | $90.14 |
Historical THE CONSUMER STAPLES SELECT SECTOR SPDR FUND prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $84.58 | $85.54 | $84.38 | $84.59 | 8 101 703 |
| Jul 10, 2026 | $83.34 | $84.19 | $83.17 | $84.12 | 7 810 427 |
| Jul 09, 2026 | $83.55 | $83.84 | $83.11 | $83.20 | 11 087 051 |
| Jul 08, 2026 | $85.14 | $85.30 | $84.36 | $84.39 | 10 378 714 |
| Jul 07, 2026 | $85.52 | $85.96 | $84.45 | $84.85 | 13 234 489 |
| Jul 06, 2026 | $84.80 | $85.10 | $83.32 | $84.10 | 13 030 271 |
| Jul 02, 2026 | $83.75 | $85.14 | $83.75 | $84.99 | 15 703 382 |
| Jul 01, 2026 | $83.10 | $83.32 | $82.77 | $83.30 | 12 199 569 |
| Jun 30, 2026 | $83.99 | $84.09 | $82.95 | $83.07 | 12 734 186 |
| Jun 29, 2026 | $84.91 | $85.08 | $84.05 | $84.37 | 10 120 065 |
| Jun 26, 2026 | $84.65 | $85.22 | $84.45 | $84.71 | 1 005 532 |
| Jun 25, 2026 | $83.95 | $84.98 | $83.70 | $83.94 | 11 958 620 |
| Jun 24, 2026 | $84.04 | $84.81 | $83.82 | $84.44 | 10 955 769 |
| Jun 23, 2026 | $83.56 | $83.84 | $83.03 | $83.72 | 14 770 822 |
| Jun 22, 2026 | $82.66 | $83.14 | $82.16 | $82.18 | 10 401 617 |
| Jun 18, 2026 | $83.84 | $83.89 | $83.13 | $83.26 | 10 428 188 |
| Jun 17, 2026 | $85.19 | $85.39 | $83.36 | $83.68 | 18 007 365 |
| Jun 16, 2026 | $85.79 | $86.35 | $85.09 | $85.59 | 8 680 045 |
| Jun 15, 2026 | $85.47 | $85.76 | $85.13 | $85.48 | 11 459 558 |
| Jun 12, 2026 | $85.46 | $85.85 | $85.12 | $85.82 | 9 330 055 |
| Jun 11, 2026 | $85.68 | $85.96 | $85.22 | $85.25 | 18 004 810 |
| Jun 10, 2026 | $84.74 | $85.62 | $84.40 | $85.49 | 13 121 704 |
| Jun 09, 2026 | $83.18 | $84.59 | $83.04 | $84.10 | 12 433 909 |
| Jun 08, 2026 | $82.80 | $83.49 | $82.80 | $83.07 | 9 480 062 |
| Jun 05, 2026 | $82.59 | $84.39 | $82.44 | $83.44 | 16 902 025 |
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 XLP stock historical prices to predict future price movements?
Trend Analysis: Examine the XLP 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 XLP 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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