Meta Data Stock Probability Of Bankruptcy
Meta Data's likelihood of distress is above 80% at this time. It has very high risk of going through financial crisis in the upcoming years. Probability of financial unrest prediction helps decision makers evaluate Meta Data's chance of financial distress in relation to its going-concern outlook and evaluation. All items used in analyzing the odds of distress are taken from the Meta balance sheet, as well as cash flow and income statements available from the company's most recent filings. 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.
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Meta Data Company probability of financial unrest Analysis
Meta Data's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Meta Data Probability Of Bankruptcy | Over 100% |
Most of Meta Data's fundamental indicators, such as Probability Of Bankruptcy, 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.
Our calculation of Meta Data probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Meta Data odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Meta Data financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
CompetitionBased on the latest financial disclosure, Meta Data has a Probability Of Bankruptcy of 100%. This is 176.4% higher than that of the Hotels, Restaurants & Leisure sector and 206.47% higher than that of the Consumer Discretionary industry. The probability of bankruptcy for all United States stocks is 151.07% lower than that of the firm.
Meta Probability Of Bankruptcy 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 Probability Of Bankruptcy 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 probability of bankruptcy 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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.
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