Xponential Fitness Stock Market Value
| XPOF Stock | USD 11.97 0.05 0.42% |
| Symbol | Xponential |
Xponential Fitness Price To Book Ratio
Is Xponential Fitness' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Xponential Fitness. If investors know Xponential will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Xponential Fitness listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.82) | Earnings Share 0.64 | Revenue Per Share 10.287 | Quarterly Revenue Growth 0.125 | Return On Assets 0.0612 |
The market value of Xponential Fitness is measured differently than its book value, which is the value of Xponential that is recorded on the company's balance sheet. Investors also form their own opinion of Xponential Fitness' value that differs from its market value or its book value, called intrinsic value, which is Xponential Fitness' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Xponential Fitness' market value can be influenced by many factors that don't directly affect Xponential Fitness' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Xponential Fitness' value and its price as these two are different measures arrived at by different means. Investors typically determine if Xponential Fitness is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xponential Fitness' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Xponential Fitness 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Xponential Fitness' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Xponential Fitness.
| 05/20/2022 |
| 05/09/2024 |
If you would invest 0.00 in Xponential Fitness on May 20, 2022 and sell it all today you would earn a total of 0.00 from holding Xponential Fitness or generate 0.0% return on investment in Xponential Fitness over 720 days. Xponential Fitness is related to or competes with Escalade Incorporated, Johnson Outdoors, Clarus Corp, American Outdoor, Leatt Corp, JAKKS Pacific, and Acushnet Holdings. Xponential Fitness, Inc., through its subsidiaries, operates as a boutique fitness franchisor in the United States and i... More
Xponential Fitness Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Xponential Fitness' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Xponential Fitness upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.15 | |||
| Information Ratio | 0.0371 | |||
| Maximum Drawdown | 53.53 | |||
| Value At Risk | (7.90) | |||
| Potential Upside | 5.55 |
Xponential Fitness Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xponential Fitness' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xponential Fitness' standard deviation. In reality, there are many statistical measures that can use Xponential Fitness historical prices to predict the future Xponential Fitness' volatility.| Risk Adjusted Performance | 0.0408 | |||
| Jensen Alpha | 0.1034 | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | 0.0556 | |||
| Treynor Ratio | 0.117 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xponential Fitness' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Xponential Fitness Backtested Returns
Xponential Fitness appears to be slightly risky, given 3 months investment horizon. Xponential Fitness shows Sharpe Ratio of 0.0447, which attests that the company had a 0.0447% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Xponential Fitness, which you can use to evaluate the volatility of the company. Please utilize Xponential Fitness' Mean Deviation of 3.35, downside deviation of 4.15, and Market Risk Adjusted Performance of 0.127 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Xponential Fitness holds a performance score of 3. The firm maintains a market beta of 2.64, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Xponential Fitness will likely underperform. Please check Xponential Fitness' potential upside, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether Xponential Fitness' historical returns will revert.
Auto-correlation | -0.67 |
Very good reverse predictability
Xponential Fitness has very good reverse predictability. Overlapping area represents the amount of predictability between Xponential Fitness time series from 20th of May 2022 to 15th of May 2023 and 15th of May 2023 to 9th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Xponential Fitness price movement. The serial correlation of -0.67 indicates that around 67.0% of current Xponential Fitness price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 25.21 |
Xponential Fitness lagged returns against current returns
Autocorrelation, which is Xponential Fitness stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Xponential Fitness' stock expected returns. We can calculate the autocorrelation of Xponential Fitness returns to help us make a trade decision. For example, suppose you find that Xponential Fitness has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Xponential Fitness regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Xponential Fitness stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xponential Fitness stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xponential Fitness stock over time.
Current vs Lagged Prices |
| Timeline |
Xponential Fitness Lagged Returns
When evaluating Xponential Fitness' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xponential Fitness stock have on its future price. Xponential Fitness autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Xponential Fitness autocorrelation shows the relationship between Xponential Fitness stock current value and its past values and can show if there is a momentum factor associated with investing in Xponential Fitness.
Regressed Prices |
| Timeline |
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Check out Xponential Fitness Correlation, Xponential Fitness Volatility and Xponential Fitness Alpha and Beta module to complement your research on Xponential Fitness. For more detail on how to invest in Xponential Stock please use our How to Invest in Xponential Fitness guide.You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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When running Xponential Fitness' price analysis, check to measure Xponential Fitness' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Xponential Fitness is operating at the current time. Most of Xponential Fitness' value examination focuses on studying past and present price action to predict the probability of Xponential Fitness' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xponential Fitness' price. Additionally, you may evaluate how the addition of Xponential Fitness to your portfolios can decrease your overall portfolio volatility.
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Xponential Fitness technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.