Magyar Payables Turnover from 2010 to 2024

MGYR Stock  USD 14.57  0.09  0.62%   
Magyar Bancorp Payables Turnover yearly trend continues to be relatively stable with very little volatility. Payables Turnover is likely to grow to 2.78 this year. Payables Turnover is a liquidity ratio that shows how quickly Magyar Bancorp pays off its suppliers by dividing total purchases by average accounts payable. View All Fundamentals
 
Payables Turnover  
First Reported
2010-12-31
Previous Quarter
1.92
Current Value
2.78
Quarterly Volatility
0.66792211
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Magyar Bancorp financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Magyar Bancorp's main balance sheet or income statement drivers, such as Depreciation And Amortization of 714.8 K, Interest Expense of 5.4 M or Selling General Administrative of 824.8 K, as well as many indicators such as Price To Sales Ratio of 1.42, Ptb Ratio of 1.09 or Capex To Depreciation of 0.4. Magyar financial statements analysis is a perfect complement when working with Magyar Bancorp Valuation or Volatility modules.
  
Check out the analysis of Magyar Bancorp Correlation against competitors.
To learn how to invest in Magyar Stock, please use our How to Invest in Magyar Bancorp guide.

Latest Magyar Bancorp's Payables Turnover Growth Pattern

Below is the plot of the Payables Turnover of Magyar Bancorp over the last few years. It is a liquidity ratio that shows how quickly a company pays off its suppliers by dividing total purchases by average accounts payable. Magyar Bancorp's Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Magyar Bancorp's overall financial position and show how it may be relating to other accounts over time.
Payables Turnover10 Years Trend
Slightly volatile
   Payables Turnover   
       Timeline  

Magyar Payables Turnover Regression Statistics

Arithmetic Mean2.17
Geometric Mean2.10
Coefficient Of Variation30.75
Mean Deviation0.47
Median1.92
Standard Deviation0.67
Sample Variance0.45
Range2.4493
R-Value(0.34)
Mean Square Error0.42
R-Squared0.12
Significance0.21
Slope(0.05)
Total Sum of Squares6.25

Magyar Payables Turnover History

2024 2.78
2023 1.92
2017 1.67
2016 2.56
2015 1.91
2014 2.71
2013 4.12

About Magyar Bancorp Financial Statements

Magyar Bancorp shareholders use historical fundamental indicators, such as Payables Turnover, to determine how well the company is positioned to perform in the future. Although Magyar Bancorp investors may analyze each financial statement separately, they are all interrelated. The changes in Magyar Bancorp's assets and liabilities, for example, are also reflected in the revenues and expenses on on Magyar Bancorp's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Payables Turnover 1.92  2.78 

Pair Trading with Magyar Bancorp

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 Magyar Bancorp 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 Magyar Bancorp will appreciate offsetting losses from the drop in the long position's value.

Moving together with Magyar Stock

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Moving against Magyar Stock

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The ability to find closely correlated positions to Magyar Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Magyar Bancorp 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 Magyar Bancorp - 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 Magyar Bancorp to buy it.
The correlation of Magyar Bancorp 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 Magyar Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Magyar Bancorp 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 Magyar Bancorp 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.
Pair CorrelationCorrelation Matching

Additional Tools for Magyar Stock Analysis

When running Magyar Bancorp's price analysis, check to measure Magyar Bancorp'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 Magyar Bancorp is operating at the current time. Most of Magyar Bancorp's value examination focuses on studying past and present price action to predict the probability of Magyar Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Magyar Bancorp's price. Additionally, you may evaluate how the addition of Magyar Bancorp to your portfolios can decrease your overall portfolio volatility.