Meta Data Insiders
Meta Data employs about 26 people. The company is managed by 7 executives with a total tenure of roughly 61 years, averaging almost 8.0 years of service per executive, having 3.71 employees per reported executive. Breaking down Meta Data's management performance can provide insight into the firm performance.
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Meta Data Management Team Effectiveness
The company 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.Meta Data Workforce Comparison
Meta Data is rated below average in number of employees category among its peers. The total workforce of Consumer Discretionary industry is presently estimated at about 52,094. Meta Data adds roughly 26.0 in number of employees claiming only tiny portion of stocks in Consumer Discretionary industry.
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. Meta Data Insider Trading
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Meta Data insiders, such as employees or executives, is commonly permitted as long as it does not rely on Meta Data's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases, Meta Data insiders must file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Lightyear Fund Ii Lp over six months ago Disposition of 550 shares by Lightyear Fund Ii Lp of Meta Data at 10.89 subject to Rule 16b-3 | ||
Lightyear Fund Ii Lp over six months ago Disposition of 1762 shares by Lightyear Fund Ii Lp of Meta Data at 10.79 subject to Rule 16b-3 | ||
Lightyear Fund Ii Lp over six months ago Disposition of tradable shares by Lightyear Fund Ii Lp of Meta Data at 12.28 subject to Rule 16b-3 |
Meta Data Notable Stakeholders
A Meta Data stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as Meta Data often face trade-offs trying to please all of them. Meta Data's stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting Meta Data's stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
Chee Ng | Chief Officer | Profile | |
Jinshu Ke | Senior Affairs | Profile | |
Ida Yu | Investor Director | Profile | |
Li Xiaoming | CEO Chairman | Profile | |
Qiang Zhou | VP Fin | Profile | |
Shengcong Ma | COO Director | Profile | |
Rebecca Shen | Investor Director | Profile |
About Meta Data Management Performance
The success or failure of an entity such as Meta Data often depends on how effective the management is. Meta Data management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of Meta management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the Meta management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.
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.
Please note, the imprecision that can be found in Meta Data's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Meta Data. Check Meta Data's Beneish M Score to see the likelihood of Meta Data's management manipulating its earnings.
Meta Data Workforce Analysis
Traditionally, organizations such as Meta Data use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare Meta Data within its industry.Meta Data Manpower Efficiency
Return on Meta Data Manpower
Revenue Per Employee | 1.2M | |
Revenue Per Executive | 4.6M | |
Net Income Per Employee | 26.7M | |
Net Income Per Executive | 99.2M | |
Working Capital Per Employee | 230.1K | |
Working Capital Per Executive | 854.6K |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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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