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Range Low Price High Price Comment
30 days $7.40 $13.71 Tuesday, 21st May 2024 XPOF stock ended at $9.15. This is 7.52% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 9.51% from a day low at $8.41 to a day high of $9.21.
90 days $7.40 $17.00
52 weeks $7.40 $29.16

Historical Xponential Fitness, Inc. prices

Date Open High Low Close Volume
Nov 20, 2023 $14.17 $14.47 $14.00 $14.34 290 253
Nov 17, 2023 $13.65 $14.33 $13.63 $14.25 456 330
Nov 16, 2023 $13.91 $13.94 $13.27 $13.51 482 770
Nov 15, 2023 $13.59 $14.46 $13.59 $14.00 668 456
Nov 14, 2023 $13.57 $13.88 $13.40 $13.57 655 951
Nov 13, 2023 $13.32 $13.41 $13.10 $13.14 324 579
Nov 10, 2023 $13.03 $13.40 $12.95 $13.31 451 043
Nov 09, 2023 $14.05 $14.32 $12.98 $13.00 566 612
Nov 08, 2023 $14.90 $15.25 $13.61 $14.00 631 601
Nov 07, 2023 $14.62 $15.14 $14.27 $15.00 599 913
Nov 06, 2023 $14.22 $14.46 $13.85 $14.46 541 218
Nov 03, 2023 $14.92 $14.92 $14.01 $14.22 469 642
Nov 02, 2023 $13.43 $14.48 $13.20 $14.34 668 532
Nov 01, 2023 $13.02 $13.46 $11.31 $13.11 2 501 735
Oct 31, 2023 $14.03 $14.61 $13.80 $14.27 281 997
Oct 30, 2023 $13.93 $14.10 $13.64 $14.00 263 687
Oct 27, 2023 $14.23 $14.29 $13.71 $13.80 289 179
Oct 26, 2023 $14.36 $14.58 $13.88 $14.16 267 692
Oct 25, 2023 $14.30 $14.48 $14.13 $14.36 231 025
Oct 24, 2023 $14.10 $14.49 $14.08 $14.44 246 483
Oct 23, 2023 $13.91 $14.41 $13.81 $13.97 329 961
Oct 20, 2023 $13.86 $14.28 $13.82 $14.04 288 242
Oct 19, 2023 $14.11 $14.23 $13.76 $14.00 260 903
Oct 18, 2023 $14.32 $14.32 $13.91 $14.02 374 548
Oct 17, 2023 $14.14 $14.74 $14.14 $14.38 254 683

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.

How can I use XPOF stock historical prices to predict future price movements?
Trend Analysis: Examine the XPOF 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.

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.

Why do the XPOF 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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About Xponential Fitness, Inc.

Xponential Fitness. Xponential Fitness, Inc., through its subsidiaries, operates as a boutique fitness franchisor in the United States and internationally. The company offers fitness and wellness services, including pilates, barre, cycling, stretching, rowing, yoga, boxing, dancing, running, and functional training under the Club Pilates, Pure Barre, CycleBar, StretchLab, Row House, YogaSix, Rumble, AKT, Stride, and BFT brands. As of December 31, 2021, it had 1,556 ... XPOF Profile

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