Patrick Industries Stock Market Value
| PATK Stock | USD 112.79 1.78 1.60% |
| Symbol | Patrick |
Patrick Industries Price To Book Ratio
Is Building Products space 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 Patrick Industries. If investors know Patrick 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 Patrick Industries 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 (0.16) | Dividend Share 1.6 | Earnings Share 3.49 | Revenue Per Share | Quarterly Revenue Growth 0.061 |
The market value of Patrick Industries is measured differently than its book value, which is the value of Patrick that is recorded on the company's balance sheet. Investors also form their own opinion of Patrick Industries' value that differs from its market value or its book value, called intrinsic value, which is Patrick Industries' 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 Patrick Industries' market value can be influenced by many factors that don't directly affect Patrick Industries' 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 Patrick Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Patrick Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Patrick Industries' 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.
Patrick Industries '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 Patrick Industries' 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 Patrick Industries.
| 12/08/2025 |
| 01/07/2026 |
If you would invest 0.00 in Patrick Industries on December 8, 2025 and sell it all today you would earn a total of 0.00 from holding Patrick Industries or generate 0.0% return on investment in Patrick Industries over 30 days. Patrick Industries is related to or competes with CarGurus, Whirlpool, RH, Red Rock, TheRealReal, Harley Davidson, and Garrett Motion. Patrick Industries, Inc. manufactures and distributes components, building products, and materials for the recreational ... More
Patrick Industries 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 Patrick Industries' 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 Patrick Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.75 | |||
| Information Ratio | 0.0263 | |||
| Maximum Drawdown | 7.93 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 2.33 |
Patrick Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Patrick Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Patrick Industries' standard deviation. In reality, there are many statistical measures that can use Patrick Industries historical prices to predict the future Patrick Industries' volatility.| Risk Adjusted Performance | 0.0646 | |||
| Jensen Alpha | 0.0471 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0267 | |||
| Treynor Ratio | 0.1329 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Patrick Industries' 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.
Patrick Industries Backtested Returns
Patrick Industries appears to be very steady, given 3 months investment horizon. Patrick Industries maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Patrick Industries, which you can use to evaluate the volatility of the company. Please evaluate Patrick Industries' Semi Deviation of 1.65, risk adjusted performance of 0.0646, and Coefficient Of Variation of 1245.87 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Patrick Industries holds a performance score of 12. The company holds a Beta of 1.0, which implies possible diversification benefits within a given portfolio. Patrick Industries returns are very sensitive to returns on the market. As the market goes up or down, Patrick Industries is expected to follow. Please check Patrick Industries' downside variance, as well as the relationship between the accumulation distribution and price action indicator , to make a quick decision on whether Patrick Industries' historical price patterns will revert.
Auto-correlation | -0.42 |
Modest reverse predictability
Patrick Industries has modest reverse predictability. Overlapping area represents the amount of predictability between Patrick Industries time series from 8th of December 2025 to 23rd of December 2025 and 23rd of December 2025 to 7th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Patrick Industries price movement. The serial correlation of -0.42 indicates that just about 42.0% of current Patrick Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 1.55 |
Patrick Industries lagged returns against current returns
Autocorrelation, which is Patrick Industries 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 Patrick Industries' stock expected returns. We can calculate the autocorrelation of Patrick Industries returns to help us make a trade decision. For example, suppose you find that Patrick Industries 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 |
Patrick Industries 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 Patrick Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Patrick Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Patrick Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Patrick Industries Lagged Returns
When evaluating Patrick Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Patrick Industries stock have on its future price. Patrick Industries 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, Patrick Industries autocorrelation shows the relationship between Patrick Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Patrick Industries.
Regressed Prices |
| Timeline |
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Try AI Portfolio ProphetCheck out Patrick Industries Correlation, Patrick Industries Volatility and Patrick Industries Alpha and Beta module to complement your research on Patrick Industries. For more information on how to buy Patrick Stock please use our How to buy in Patrick Stock guide.You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Patrick Industries 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.