Meta Data Stock Current Ratio
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 Current Ratio Analysis
Meta Data's Current Ratio is calculated by dividing the Current Assets of a company by its Current Liabilities. It measures whether or not a company has enough cash or liquid assets to pay its current liability over the next fiscal year. The ratio is regarded as a test of liquidity for a company.
Current Meta Data Current Ratio | 0.06 X |
Most of Meta Data's fundamental indicators, such as Current Ratio, 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.
Typically, short-term creditors will prefer a high current ratio because it reduces their overall risk. However, investors may prefer a lower current ratio since they are more concerned about growing the business using assets of the company. Acceptable current ratios may vary from one sector to another, but the generally accepted benchmark is to have current assets at least as twice as current liabilities (i.e., Current Ration of 2 to 1).
CompetitionIn accordance with the recently published financial statements, Meta Data has a Current Ratio of 0.06 times. This is 96.98% lower than that of the Hotels, Restaurants & Leisure sector and 97.37% lower than that of the Consumer Discretionary industry. The current ratio for all United States stocks is 97.22% higher than that of the company.
Meta Current Ratio 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 Current Ratio 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 current ratio 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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 | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |