MFS Income Before Tax from 2010 to 2024

MCR Stock  USD 6.32  0.00  0.00%   
MFS Charter Income Before Tax yearly trend continues to be relatively stable with very little volatility. Income Before Tax is likely to drop to about 14.1 M. During the period from 2010 to 2024, MFS Charter Income Before Tax destribution of quarterly values had r-value of (0.33) from its regression line and median of  24,422,786. View All Fundamentals
 
Income Before Tax  
First Reported
2006-11-30
Previous Quarter
7.1 M
Current Value
7.1 M
Quarterly Volatility
14.2 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check MFS Charter financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among MFS Charter's main balance sheet or income statement drivers, such as Interest Expense of 6.9 M, Selling General Administrative of 398.5 K or Total Revenue of 17.9 M, as well as many indicators such as Price To Sales Ratio of 9.02, Dividend Yield of 0.067 or PTB Ratio of 0.74. MFS financial statements analysis is a perfect complement when working with MFS Charter Valuation or Volatility modules.
  
Check out the analysis of MFS Charter Correlation against competitors.

Latest MFS Charter's Income Before Tax Growth Pattern

Below is the plot of the Income Before Tax of MFS Charter Income over the last few years. Income Before Tax which can also be referred as pre-tax income is reported on MFS Charter income statement and is an important metric when analyzing MFS Charter Income profitability. Accounting techniques because taxes can be complex, and not perfectly consistent from one company to company, an analyst may use pre-tax income as a more stable measure of profitability. It is MFS Charter's Income Before Tax historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in MFS Charter's overall financial position and show how it may be relating to other accounts over time.
Income Before Tax10 Years Trend
Slightly volatile
   Income Before Tax   
       Timeline  

MFS Income Before Tax Regression Statistics

Arithmetic Mean17,779,678
Coefficient Of Variation130.88
Mean Deviation17,542,279
Median24,422,786
Standard Deviation23,270,055
Sample Variance541.5T
Range92.3M
R-Value(0.33)
Mean Square Error519.6T
R-Squared0.11
Significance0.23
Slope(1,718,029)
Total Sum of Squares7580.9T

MFS Income Before Tax History

202414.1 M
202314.8 M
202216.5 M
2021-38.9 M
20203.8 M
201927.9 M
201853.4 M

About MFS Charter Financial Statements

MFS Charter shareholders use historical fundamental indicators, such as Income Before Tax, to determine how well the company is positioned to perform in the future. Although MFS Charter investors may analyze each financial statement separately, they are all interrelated. The changes in MFS Charter's assets and liabilities, for example, are also reflected in the revenues and expenses on on MFS Charter'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
Income Before Tax14.8 M14.1 M

Pair Trading with MFS Charter

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 MFS Charter 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 MFS Charter will appreciate offsetting losses from the drop in the long position's value.

Moving against MFS Stock

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

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