Great Elm Capital Stock Total Debt

Great Elm Capital fundamentals help investors to digest information that contributes to Great Elm's financial success or failures. It also enables traders to predict the movement of Great Stock. The fundamental analysis module provides a way to measure Great Elm's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Great Elm stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Great Elm Capital Company Total Debt Analysis

Great Elm's Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.

Total Debt

 = 

Bonds

+

Notes

More About Total Debt | All Equity Analysis

Current Great Elm Total Debt

    
  153.15 M  
Most of Great Elm's fundamental indicators, such as Total Debt, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Great Elm Capital is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Competition

Based on the latest financial disclosure, Great Elm Capital has a Total Debt of 153.15 M. This is much higher than that of the Oil, Gas & Consumable Fuels sector and significantly higher than that of the Energy industry. The total debt for all United States stocks is notably lower than that of the firm.

Great Total Debt Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Great Elm's direct or indirect competition against its Total Debt to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Great Elm could also be used in its relative valuation, which is a method of valuing Great Elm by comparing valuation metrics of similar companies.
Great Elm is currently under evaluation in total debt category among its peers.

Great Fundamentals

Pair Trading with Great Elm

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 Great Elm 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 Great Elm will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data 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 Automatic Data - 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 Automatic Data Processing to buy it.
The correlation of Automatic Data 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 Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing 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 Automatic Data 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
Check out Risk vs Return Analysis 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 main economic indicators.
You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..

Other Consideration for investing in Great Stock

If you are still planning to invest in Great Elm Capital check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Great Elm's history and understand the potential risks before investing.
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