Artificial Intelligence Technology Stock Operating Margin
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.
Artificial |
Artificial Intelligence Technology Company Operating Margin Analysis
Artificial Intelligence's Operating Margin shows how much operating income a company makes on each dollar of sales. It is one of the profitability indicators which helps analysts to understand whether the firm is successful or not making money from everyday operations.
Current Artificial Intelligence Operating Margin | (8.79) % |
Most of Artificial Intelligence's fundamental indicators, such as Operating Margin, 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.
A good Operating Margin is required for a company to be able to pay for its fixed costs or payout its debt, which implies that the higher the margin, the better. This ratio is most effective in evaluating the earning potential of a company over time when comparing it against a firm's competitors.
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Based on the recorded statements, Artificial Intelligence Technology has an Operating Margin of -8.7903%. This indicator is about the same for the Technology average (which is currently at -8.84) sector and significantly lower than that of the Computer Hardware industry. The operating margin for all United States stocks is 59.53% higher than that of the company.
Artificial Operating Margin 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 Operating Margin 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 operating margin 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.