SSP Net Income from 2010 to 2026

SSP Stock  USD 3.69  0.05  1.37%   
E W Net Income yearly trend continues to be relatively stable with very little volatility. Net Income is likely to grow to about 138.2 M this year. During the period from 2010 to 2026, E W Net Income destribution of quarterly values had range of 1.2 B from its regression line and mean deviation of  130,889,531. View All Fundamentals
 
Net Income  
First Reported
1986-03-31
Previous Quarter
-36 M
Current Value
-33 M
Quarterly Volatility
86.9 M
 
Black Monday
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check E W financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among E W's main balance sheet or income statement drivers, such as Depreciation And Amortization of 187.4 M, Interest Expense of 254 M or Total Revenue of 1.6 B, as well as many indicators such as Price To Sales Ratio of 0.0825, Dividend Yield of 0.0674 or PTB Ratio of 0.16. SSP financial statements analysis is a perfect complement when working with E W Valuation or Volatility modules.
  
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Check out the analysis of E W Correlation against competitors.

Latest E W's Net Income Growth Pattern

Below is the plot of the Net Income of E W Scripps over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in E W Scripps financial statement analysis. It represents the amount of money remaining after all of E W Scripps operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is E W's Net Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in E W's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 146.22 M10 Years Trend
Very volatile
   Net Income   
       Timeline  

SSP Net Income Regression Statistics

Arithmetic Mean5,800,836
Geometric Mean48,607,180
Coefficient Of Variation4,514
Mean Deviation130,889,531
Median34,100,000
Standard Deviation261,828,511
Sample Variance68554.2T
Range1.2B
R-Value(0.02)
Mean Square Error73086.5T
R-Squared0.0005
Significance0.93
Slope(1,180,996)
Total Sum of Squares1096866.7T

SSP Net Income History

2026138.2 M
2025131.6 M
2024146.2 M
2023-947.8 M
2022195.9 M
2021122.7 M
2020269.3 M

Other Fundumenentals of E W Scripps

E W Net Income component correlations

About E W Financial Statements

E W shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although E W investors may analyze each financial statement separately, they are all interrelated. The changes in E W's assets and liabilities, for example, are also reflected in the revenues and expenses on on E W'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
Net Income131.6 M138.2 M
Net Income Applicable To Common Shares131 M93.7 M
Net Income From Continuing Ops131.6 M138.2 M
Net Income Per Share 1.96  1.30 
Net Income Per E B T 0.80  0.84 

Pair Trading with E W

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 E W 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 E W will appreciate offsetting losses from the drop in the long position's value.

Moving together with SSP Stock

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Moving against SSP Stock

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

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