Paysign Property Plant And Equipment Net from 2010 to 2024
PAYS Stock | USD 4.22 0.03 0.71% |
Property Plant And Equipment Net | First Reported 2010-12-31 | Previous Quarter 4.3 M | Current Value 4.2 M | Quarterly Volatility 2.3 M |
Check Paysign financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Paysign's main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.2 M, Interest Expense of 955 K or Selling General Administrative of 20.8 M, as well as many indicators such as Price To Sales Ratio of 2.89, Dividend Yield of 0.0 or PTB Ratio of 5.7. Paysign financial statements analysis is a perfect complement when working with Paysign Valuation or Volatility modules.
Paysign | Property Plant And Equipment Net |
Latest Paysign's Property Plant And Equipment Net Growth Pattern
Below is the plot of the Property Plant And Equipment Net of Paysign over the last few years. It is the total value of a company's physical assets (such as land, buildings, and equipment) used in operations, net of depreciation. It reflects the company's investment in assets used for production. Paysign's Property Plant And Equipment Net historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Paysign's overall financial position and show how it may be relating to other accounts over time.
Property Plant And Equipment Net | 10 Years Trend |
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Property Plant And Equipment Net |
Timeline |
Paysign Property Plant And Equipment Net Regression Statistics
Arithmetic Mean | 1,957,924 | |
Geometric Mean | 693,946 | |
Coefficient Of Variation | 120.33 | |
Mean Deviation | 2,095,410 | |
Median | 854,402 | |
Standard Deviation | 2,355,884 | |
Sample Variance | 5.6T | |
Range | 6.1M | |
R-Value | 0.83 | |
Mean Square Error | 1.9T | |
R-Squared | 0.68 | |
Significance | 0.0001 | |
Slope | 435,664 | |
Total Sum of Squares | 77.7T |
Paysign Property Plant And Equipment Net History
About Paysign Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Paysign income statement, its balance sheet, and the statement of cash flows. Paysign investors use historical funamental indicators, such as Paysign's Property Plant And Equipment Net, to determine how well the company is positioned to perform in the future. Although Paysign investors may use each financial statement separately, they are all related. The changes in Paysign's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Paysign's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Paysign Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Paysign. Please read more on our technical analysis and fundamental analysis pages.
Last Reported | Projected for Next Year | ||
Property Plant And Equipment Net | 4.3 M | 4.5 M |
Pair Trading with Paysign
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Paysign position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Paysign will appreciate offsetting losses from the drop in the long position's value.Moving against Paysign Stock
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The ability to find closely correlated positions to Paysign could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Paysign when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Paysign - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Paysign to buy it.
The correlation of Paysign is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Paysign moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Paysign moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Paysign can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Paysign Stock Analysis
When running Paysign's price analysis, check to measure Paysign's 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 Paysign is operating at the current time. Most of Paysign's value examination focuses on studying past and present price action to predict the probability of Paysign's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Paysign's price. Additionally, you may evaluate how the addition of Paysign to your portfolios can decrease your overall portfolio volatility.