Ellington Selling General Administrative from 2010 to 2024
EFC-PE Stock | 25.56 0.00 0.00% |
Selling General Administrative | First Reported 2010-12-31 | Previous Quarter 68.5 M | Current Value 37.1 M | Quarterly Volatility 14.1 M |
Check Ellington Financial financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ellington Financial's main balance sheet or income statement drivers, such as Tax Provision of 479.9 K, Net Interest Income of 98.3 M or Interest Income of 275.4 M, as well as many indicators such as Price To Sales Ratio of 3.25, Dividend Yield of 0.14 or PTB Ratio of 0.85. Ellington financial statements analysis is a perfect complement when working with Ellington Financial Valuation or Volatility modules.
Ellington | Selling General Administrative |
Latest Ellington Financial's Selling General Administrative Growth Pattern
Below is the plot of the Selling General Administrative of Ellington Financial over the last few years. It is Ellington Financial's Selling General Administrative historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ellington Financial's overall financial position and show how it may be relating to other accounts over time.
Selling General Administrative | 10 Years Trend |
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Selling General Administrative |
Timeline |
Ellington Selling General Administrative Regression Statistics
Arithmetic Mean | 22,481,775 | |
Geometric Mean | 20,217,876 | |
Coefficient Of Variation | 62.53 | |
Mean Deviation | 8,952,573 | |
Median | 16,521,000 | |
Standard Deviation | 14,057,325 | |
Sample Variance | 197.6T | |
Range | 52M | |
R-Value | 0.61 | |
Mean Square Error | 133.9T | |
R-Squared | 0.37 | |
Significance | 0.02 | |
Slope | 1,913,594 | |
Total Sum of Squares | 2766.5T |
Ellington Selling General Administrative History
About Ellington Financial Financial Statements
Ellington Financial stakeholders use historical fundamental indicators, such as Ellington Financial's Selling General Administrative, to determine how well the company is positioned to perform in the future. Although Ellington Financial investors may analyze each financial statement separately, they are all interrelated. For example, changes in Ellington Financial's assets and liabilities are reflected in the revenues and expenses on Ellington Financial's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Ellington Financial. Please read more on our technical analysis and fundamental analysis pages.
Last Reported | Projected for Next Year | ||
Selling General Administrative | 68.5 M | 37.1 M |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Ellington Financial offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ellington Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ellington Financial Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ellington Financial Stock:Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.