Meta Data Stock Return On Asset
Meta Data fundamentals help investors to digest information that contributes to Meta Data's financial success or failures. It also enables traders to predict the movement of Meta Stock. The fundamental analysis module provides a way to measure Meta Data'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 Meta Data stock.
Meta |
Meta Data Company Return On Asset Analysis
Meta Data's Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Current Meta Data Return On Asset | 0.0996 |
Most of Meta Data's fundamental indicators, such as Return On Asset, 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, Meta Data is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
CompetitionBased on the latest financial disclosure, Meta Data has a Return On Asset of 0.0996. This is 232.0% higher than that of the Hotels, Restaurants & Leisure sector and 79.25% lower than that of the Consumer Discretionary industry. The return on asset for all United States stocks is 171.14% lower than that of the firm.
Meta Return On Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Meta Data's direct or indirect competition against its Return On Asset to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Meta Data could also be used in its relative valuation, which is a method of valuing Meta Data by comparing valuation metrics of similar companies.Meta Data is currently under evaluation in return on asset category among its peers.
Meta Fundamentals
Return On Asset | 0.0996 | |||
Profit Margin | 21.42 % | |||
Operating Margin | 0.45 % | |||
Current Valuation | 850.7 K | |||
Shares Outstanding | 30.79 M | |||
Shares Owned By Institutions | 0.20 % | |||
Number Of Shares Shorted | 211.77 K | |||
Price To Book | 3.92 X | |||
Price To Sales | 0.58 X | |||
Revenue | 32.43 M | |||
Gross Profit | 15.42 M | |||
EBITDA | 14.36 M | |||
Net Income | 694.5 M | |||
Cash And Equivalents | 202.41 M | |||
Cash Per Share | 13.21 X | |||
Total Debt | 103.18 M | |||
Current Ratio | 0.06 X | |||
Book Value Per Share | 0.31 X | |||
Cash Flow From Operations | 13.36 M | |||
Short Ratio | 0.25 X | |||
Earnings Per Share | 1.20 X | |||
Target Price | 58.35 | |||
Number Of Employees | 26 | |||
Beta | 0.4 | |||
Market Capitalization | 18.78 M | |||
Total Asset | 121.14 M | |||
Retained Earnings | (946.05 M) | |||
Working Capital | 5.98 M | |||
Net Asset | 121.14 M |
About Meta Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Meta Data's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Meta Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Meta Data 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.
Thematic Opportunities
Explore Investment Opportunities
Check out Trending Equities 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 gross domestic product. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Consideration for investing in Meta Stock
If you are still planning to invest in Meta Data 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 Meta Data's history and understand the potential risks before investing.
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |