Great Elm Capital Stock Price To Earning
GECCMDelisted Stock | USD 25.03 0.00 0.00% |
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.
Great |
Great Elm Capital Company Price To Earning Analysis
Great Elm's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
CompetitionBased on the latest financial disclosure, Great Elm Capital has a Price To Earning of 0.0 times. This indicator is about the same for the Oil, Gas & Consumable Fuels average (which is currently at 0.0) sector and about the same as Energy (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Great Price To Earning 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 Price To Earning 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 price to earning category among its peers.
Great Fundamentals
Number Of Shares Shorted | 147 | |||
Revenue | 35.83 M | |||
EBITDA | 1.05 M | |||
Net Income | 25.33 M | |||
Cash And Equivalents | 6.03 M | |||
Cash Per Share | 0.57 X | |||
Total Debt | 140.21 M | |||
Debt To Equity | 60.30 % | |||
Current Ratio | 0.24 X | |||
Book Value Per Share | 11.79 X | |||
Cash Flow From Operations | 25.68 M | |||
Market Capitalization | 185.1 M | |||
Total Asset | 246.82 M | |||
Retained Earnings | (185.13 M) | |||
Annual Yield | 0.18 % | |||
Net Asset | 246.82 M |
About Great Elm Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Great Elm Capital's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Great Elm using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Great Elm Capital based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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.
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Equity Valuation Check real value of public entities based on technical and fundamental data |