Artificial Intelligence Technology Stock Number Of Employees
AITX Stock | USD 0 0.0002 7.14% |
Artificial Intelligence Technology fundamentals help investors to digest information that contributes to Artificial Intelligence's financial success or failures. It also enables traders to predict the movement of Artificial Pink Sheet. The fundamental analysis module provides a way to measure Artificial Intelligence'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 Artificial Intelligence pink sheet.
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Artificial Intelligence Technology Company Number Of Employees Analysis
Artificial Intelligence's Number of Employees shows the total number of permanent full time and part time employees working for a given company and processed through its payroll.
Current Artificial Intelligence Number Of Employees | 85 |
Most of Artificial Intelligence's fundamental indicators, such as Number Of Employees, 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, Artificial Intelligence Technology is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Employee typically refers to an individual working under a contract of employment, whether oral or written, express or implied, and has recognized his or her rights and duties. Most officers of corporations are included as employees and contractors are generally excluded.
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Based on the recorded statements, Artificial Intelligence Technology is currently employing 85 people. This is 99.02% lower than that of the Technology sector and significantly higher than that of the Computer Hardware industry. The number of employees for all United States stocks is 99.55% higher than that of the company.
Artificial Number Of Employees Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Artificial Intelligence's direct or indirect competition against its Number Of Employees to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Artificial Intelligence could also be used in its relative valuation, which is a method of valuing Artificial Intelligence by comparing valuation metrics of similar companies.Artificial Intelligence is currently under evaluation in number of employees category among its peers.
Artificial Fundamentals
Return On Asset | -1.02 | |||
Operating Margin | (8.79) % | |||
Current Valuation | 65.52 M | |||
Shares Outstanding | 5.38 B | |||
Price To Sales | 25.34 X | |||
Revenue | 1.45 M | |||
Gross Profit | 974.18 K | |||
EBITDA | (45.84 M) | |||
Net Income | (62.2 M) | |||
Cash And Equivalents | 363.07 K | |||
Total Debt | 20.31 M | |||
Current Ratio | 0.95 X | |||
Book Value Per Share | (0.01) X | |||
Cash Flow From Operations | (14.83 M) | |||
Earnings Per Share | (0.02) X | |||
Number Of Employees | 85 | |||
Beta | 5.29 | |||
Market Capitalization | 47.86 M | |||
Total Asset | 9.28 M | |||
Z Score | -12.0 | |||
Net Asset | 9.28 M |
About Artificial Intelligence Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Artificial Intelligence Technology's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Artificial Intelligence using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Artificial Intelligence Technology 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.
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When running Artificial Intelligence's price analysis, check to measure Artificial Intelligence'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 Artificial Intelligence is operating at the current time. Most of Artificial Intelligence's value examination focuses on studying past and present price action to predict the probability of Artificial Intelligence's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Artificial Intelligence's price. Additionally, you may evaluate how the addition of Artificial Intelligence to your portfolios can decrease your overall portfolio volatility.