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Range Low Price High Price Comment
30 days $7.40 $13.77 Friday, 17th May 2024 XPOF stock ended at $8.80. This is 1.90% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 5.11% from a day low at $8.52 to a day high of $8.96.
90 days $7.40 $17.00
52 weeks $7.40 $29.16

Historical Xponential Fitness, Inc. prices

Date Open High Low Close Volume
Sep 07, 2023 $19.01 $20.20 $18.59 $19.24 1 456 436
Sep 06, 2023 $23.74 $23.74 $18.94 $19.07 2 322 623
Sep 05, 2023 $21.85 $22.90 $21.78 $22.53 718 358
Sep 01, 2023 $21.62 $22.30 $21.62 $22.28 593 845
Aug 31, 2023 $20.91 $22.00 $20.79 $21.66 721 883
Aug 30, 2023 $20.65 $21.11 $20.71 $20.85 618 874
Aug 29, 2023 $20.25 $20.93 $20.25 $20.69 962 060
Aug 28, 2023 $20.57 $20.96 $20.33 $20.44 462 886
Aug 25, 2023 $20.14 $20.78 $20.22 $20.56 820 762
Aug 24, 2023 $21.83 $21.86 $20.11 $20.11 669 897
Aug 23, 2023 $21.61 $22.10 $21.11 $21.98 375 349
Aug 22, 2023 $21.84 $22.38 $21.51 $21.61 397 832
Aug 21, 2023 $21.64 $22.03 $21.24 $21.48 526 142
Aug 18, 2023 $21.61 $22.11 $21.36 $21.81 558 855
Aug 17, 2023 $22.55 $22.89 $21.79 $21.87 512 991
Aug 16, 2023 $23.87 $23.93 $22.42 $22.44 504 985
Aug 15, 2023 $22.39 $23.11 $22.30 $22.79 697 597
Aug 14, 2023 $22.75 $22.52 $21.64 $22.20 922 040
Aug 11, 2023 $21.75 $22.00 $21.11 $21.19 734 184
Aug 10, 2023 $20.40 $21.77 $20.40 $21.75 921 437
Aug 09, 2023 $20.65 $20.74 $20.23 $20.45 526 480
Aug 08, 2023 $19.83 $20.24 $19.64 $19.90 536 376
Aug 07, 2023 $19.90 $20.60 $19.32 $19.91 1 010 481
Aug 04, 2023 $24.00 $24.00 $19.13 $19.61 1 552 412
Aug 03, 2023 $21.00 $21.96 $20.46 $20.63 1 247 208

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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