Meta Data Stock Analysis

AIU Stock  USD 0.75  0.03  3.85%   
Meta Data is overvalued with Real Value of 0.71 and Hype Value of 0.78. The main objective of Meta Data stock analysis is to determine its intrinsic value, which is an estimate of what Meta Data is worth, separate from its market price. There are two main types of Meta Data's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Meta Data's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Meta Data's stock to identify patterns and trends that may indicate its future price movements.
The Meta Data stock is traded in the USA on New York Stock Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Meta Data is usually not traded on Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day, Juneteenth Holiday, Independence Day, Labour Day. Meta Stock trading window is adjusted to America/New York timezone. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Meta Data's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Meta Data. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
For more information on how to buy Meta Stock please use our How to Invest in Meta Data guide.

Meta Stock Analysis Notes

The company had not issued any dividends in recent years. Meta Data had 1:25 split on the 24th of January 2022. Meta Data Limited provides tutoring services for the students of kindergarten and primary, middle, and high schools in the Peoples Republic of China. Meta Data Limited was founded in 2007 and is headquartered in Shanghai, the Peoples Republic of China. Meta Data operates under Education Training Services classification in the United States and is traded on New York Stock Exchange. It employs 13497 people. For more info on Meta Data please contact Li Xiaoming at 86 21 2250 5999 or go to https://www.aiumeta.com.

Meta Data Quarterly Total Revenue

19.5 Million

Meta Data Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more stocks at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. Meta Data's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding Meta Data or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
Meta Data generated a negative expected return over the last 90 days
Meta Data has some characteristics of a very speculative penny stock
Meta Data has high historical volatility and very poor performance
The company has 103.18 M in debt. Meta Data has a current ratio of 0.06, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Debt can assist Meta Data until it has trouble settling it off, either with new capital or with free cash flow. So, Meta Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Meta Data sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Meta to invest in growth at high rates of return. When we think about Meta Data's use of debt, we should always consider it together with cash and equity.
Meta Data has a poor financial position based on the latest SEC disclosures
Latest headline from news.google.com: Comparing Meta Data and Gaotu Techedu - Defense World

Meta Data Upcoming and Recent Events

Earnings reports are used by Meta Data to provide an update of all three financial statements, including the income statement, the balance sheet, and the cash flow statement. Every quarterly earnings report provides investors with three things: an overview of sales, expenses, and net income for the most recent period. It also may provide a comparison to Meta Data previous reporting period. The quarterly earnings reports are usually disseminated to the public via Form 10-Q, which is a legal document filed with the Securities and Exchange Commission every quarter.
29th of December 2023
Upcoming Quarterly Report
View
31st of August 2023
Next Fiscal Quarter End
View

Meta Largest EPS Surprises

Earnings surprises can significantly impact Meta Data's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported
Fiscal Date
Estimated EPS
Reported EPS
Surprise
2015-10-27
2015-08-310.080.090.0112 
2014-11-06
2014-08-310.170.15-0.0211 
2014-05-08
2014-02-280.220.250.0313 
View All Earnings Estimates

Meta Data Thematic Classifications

In addition to having Meta Data stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
Railroads Idea
Railroads
Railroads and Railways
Books Idea
Books
Books, newspapers, periodicals, and publishing
Personal Services Idea
Personal Services
USA Equities from Personal Services industry as classified by Fama & French
Education Idea
Education
Tutoring, learning, and education services

Meta Stock Institutional Investors

Have you ever been surprised when a price of an equity instrument such as Meta Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Meta Data backward and forwards among themselves. Meta Data's institutional investor refers to the entity that pools money to purchase Meta Data's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
Shares
The Carlyle Group Inc2023-12-31
314.4 K
Rhumbline Advisers2023-12-31
5.6 K
Morgan Stanley - Brokerage Accounts2023-12-31
218
Ubs Group Ag2023-12-31
58.0
Qube Research & Technologies2023-12-31
1.0
Bank Of America Corp2023-12-31
0.0
Note, although Meta Data's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Meta Market Capitalization

The company currently falls under 'Micro-Cap' category with a total capitalization of 60.04 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Meta Data's market, we take the total number of its shares issued and multiply it by Meta Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Meta Profitablity

Meta Data's profitability indicators refer to fundamental financial ratios that showcase Meta Data's ability to generate income relative to its revenue or operating costs. If, let's say, Meta Data is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Meta Data's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Meta Data's profitability requires more research than a typical breakdown of Meta Data's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Net Profit Margin of 21.42 %, which may imply that it executes well on its competitive polices and has reasonable control over its expenses and variable costs. This is very large. In the same way, it shows Net Operating Margin of 0.45 %, which entails that for every 100 dollars of revenue, it generated $0.45 of operating income.
Last ReportedProjected for 2024
Return On Capital Employed 2.60  2.82 
Return On Assets 6.59  6.92 
Return On Equity 130.38  136.90 

Management Efficiency

Meta Data has Return on Asset of 0.0996 % which means that on every $100 spent on assets, it made $0.0996 of profit. This is way below average. Meta Data's management efficiency ratios could be used to measure how well Meta Data manages its routine affairs as well as how well it operates its assets and liabilities. Return On Capital Employed is likely to gain to 2.82 in 2024. Return On Assets is likely to gain to 6.92 in 2024. Non Current Liabilities Other is likely to gain to about 71.8 M in 2024, whereas Total Current Liabilities is likely to drop slightly above 125.8 M in 2024.
Last ReportedProjected for 2024
Price Book Value Ratio8.7 K9.1 K
Enterprise Value Multiple3.7 K3.3 K
Price Fair Value8.7 K9.1 K
The analysis of Meta Data's management efficiency is an essential part of evaluating and assessing the financial and operational performance of the entity. It is also vital to analyze Meta Data's future growth prospects and the overall market conditions to determine the value and potential of its stock. The analysis involves studying a range of financial metrics such as revenue, earnings, profit margins, cash flow, debt, market share, and external factors such as economic trends, industry outlook, competition, and government regulations. The goal of Meta Stock analysis is to determine whether it is undervalued, fairly valued, or overvalued and to make informed investment decisions.
Beta
0.345

Technical Drivers

As of the 18th of March 2024, Meta Data secures the Standard Deviation of 3.45, mean deviation of 2.4, and Risk Adjusted Performance of (0.06). Meta Data technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to collect and analyze data for thirteen technical drivers for Meta Data, which can be compared to its peers in the industry. Please verify Meta Data market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and skewness to decide if Meta Data is priced some-what accurately, providing market reflects its recent price of 0.75 per share. As Meta Data is a penny stock we also strongly advise to check its jensen alpha numbers.

Meta Data Price Movement Analysis

null. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Meta Data middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Meta Data. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Meta Data Predictive Daily Indicators

Meta Data intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Meta Data stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Meta Data Forecast Models

Meta Data's time-series forecasting models are one of many Meta Data's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Meta Data's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About Meta Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how Meta Data prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Meta shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Meta Data. By using and applying Meta Stock analysis, traders can create a robust methodology for identifying Meta entry and exit points for their positions.
Last ReportedProjected for 2024
Pretax Profit Margin 0.37  0.39 
Operating Profit Margin 0.48  0.51 
Net Profit Margin 24.63  25.86 
Gross Profit Margin 0.55  0.47 

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Meta Data to your portfolios without increasing risk or reducing expected return.

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When determining whether Meta Data is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Meta Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Meta Data Stock. Highlighted below are key reports to facilitate an investment decision about Meta Data Stock:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Meta Data. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
For more information on how to buy Meta Stock please use our How to Invest in Meta Data guide.
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..

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When running Meta Data's price analysis, check to measure Meta Data's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Meta Data is operating at the current time. Most of Meta Data's value examination focuses on studying past and present price action to predict the probability of Meta Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Meta Data's price. Additionally, you may evaluate how the addition of Meta Data to your portfolios can decrease your overall portfolio volatility.
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Is Meta Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Data. If investors know Meta will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Meta Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.24
Revenue Per Share
0.743
Quarterly Revenue Growth
8.155
Return On Assets
0.0996
The market value of Meta Data is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Data's value that differs from its market value or its book value, called intrinsic value, which is Meta Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Meta Data's market value can be influenced by many factors that don't directly affect Meta Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Meta Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.