Artificial Intelligence Financials
| AITX Stock | USD 0 0.0004 10.81% |
Artificial |
Understanding current and past Artificial Intelligence Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Artificial Intelligence's financial statements are interrelated, with each one affecting the others. For example, an increase in Artificial Intelligence's assets may result in an increase in income on the income statement.
The data published in Artificial Intelligence's official financial statements usually reflect Artificial Intelligence's business processes, product offerings, services, and other fundamental events. But there are other numbers, ratios, or fundamental indicators derived from these statements that are easier to understand and visualize within the underlying realities that drive quantitative information of Artificial Intelligence. For example, before you start analyzing numbers published by Artificial accountants, it's critical to develop an understanding of what Artificial Intelligence's liquidity, profitability, and earnings quality are in the context of the Technology space in which it operates.
Please note, the presentation of Artificial Intelligence's financial position, as portrayed in its financial statements, is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Artificial Intelligence's management is honest, while the outside auditors are strict and uncompromising. Whatever the case, the imprecision that can be found in Artificial Intelligence's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Artificial Intelligence Technology. Please utilize our Beneish M Score to check the likelihood of Artificial Intelligence's management manipulating its earnings.
Artificial Intelligence Stock Summary
Artificial Intelligence competes with DPCM Capital, Quantum ComputingInc, Rigetti Computing, Nano Dimension, and Super Micro. Artificial Intelligence Technology Solutions Inc. focuses on the delivery of artificial intelligence and robotic solutions for operational, security, and monitoring needs. Artificial Intelligence Technology Solutions Inc. was founded in 2016 is based in Ferndale, Michigan. Artificial Intelligence operates under Computer Hardware classification in the United States and is traded on OTC Exchange. It employs 83 people.| Instrument | USA Pink Sheet View All |
| Exchange | PINK Exchange |
| ISIN | US04316D2018 |
| Business Address | 10800 Galaxie Avenue, |
| Sector | Technology |
| Industry | Computer Hardware |
| Benchmark | NYSE Composite |
| Website | roboticassistancedevices.com |
| Phone | 877 787 6268 |
| Currency | USD - US Dollar |
You should never invest in Artificial Intelligence without having analyzed its financial statements. Do not rely on someone else's analysis or guesses about the future performance of Artificial Pink Sheet, because this is throwing your money away. Analyzing the key information contained in Artificial Intelligence's financial statements can give you an edge over other investors and help to ensure that your investments perform well for you.
Artificial Intelligence Key Financial Ratios
Generally speaking, Artificial Intelligence's financial ratios allow both analysts and investors to convert raw data from Artificial Intelligence's financial statements into concise, actionable information that can be used to evaluate the performance of Artificial Intelligence over time and compare it to other companies across industries. There are many critical financial ratios that investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Artificial Intelligence reports annually and quarterly.Artificial Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Artificial Intelligence's current stock value. Our valuation model uses many indicators to compare Artificial Intelligence value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Artificial Intelligence competition to find correlations between indicators driving Artificial Intelligence's intrinsic value. More Info.Artificial Intelligence Technology is number one stock in return on asset category among related companies. It is number one stock in operating margin category among related companies . Comparative valuation analysis is a catch-all model that can be used if you cannot value Artificial Intelligence by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Artificial Intelligence's Pink Sheet. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Artificial Intelligence's earnings, one of the primary drivers of an investment's value.Artificial Intelligence Systematic Risk
Artificial Intelligence's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Artificial Intelligence volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on Artificial Intelligence correlated with the market. If Beta is less than 0 Artificial Intelligence generally moves in the opposite direction as compared to the market. If Artificial Intelligence Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Artificial Intelligence is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Artificial Intelligence is generally in the same direction as the market. If Beta > 1 Artificial Intelligence moves generally in the same direction as, but more than the movement of the benchmark.
About Artificial Intelligence Financials
What exactly are Artificial Intelligence Financials? Typically, a company's financial statements are the reports that show the financial position of the company. Three primary documents fall into the category of financial statements. These documents include Artificial Intelligence's income statement, its balance sheet, and the statement of cash flows. Potential Artificial Intelligence investors and stakeholders use financial statements to determine how well the company is positioned to perform in the future. Although Artificial Intelligence investors may use each financial statement separately, they are all related. The changes in Artificial Intelligence's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Artificial Intelligence's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. Please read more on our technical analysis and fundamental analysis pages.Steps to analyze Artificial Intelligence Financials for Investing
There are several different ways that investors can use financial statements to try and predict whether a stock price will go up or down. Unfortunately, there is no surefire formula, but there are some general guidelines you should consider when looking at the numbers. First, realize what kind of company it is so you know if its revenues are more likely to grow or shrink over time. For example, a software company's revenue is expected to increase yearly due to new products and services that its customers will want to buy. At the same time, a car manufacturer might not be able to sell as many cars when the economy slows down, so it would have less net income during those times. Second, pay attention to its debt-to-equity ratio because this number will tell you how much risk it has. If a company such as Artificial Intelligence is not taking on any additional risks, its debt-to-equity should be less than one. As a general rule of thumb, if the market value or book value (which can be found in the footnotes) of assets exceeds the company's liabilities, then it is probably in good shape. Finally, use other financial statements to determine if a stock price will go up or down because investors are always looking for growth opportunities when they buy new stocks. For example, if you see that the net revenue of Artificial has grown by more than 25% over the last five years, then there is a good chance that it will continue growing by at least 20% or more each year. On the other hand, if you see that net revenue has only increased by about 15%, which is barely above inflation levels, then chances are it will not grow much faster than this over time, and investors may shy away from buying it. In summary, you can determine if Artificial Intelligence's financials are consistent with your investment objective using the following steps:- Review Artificial Intelligence's balance sheet accounts, such as liabilities and equity, to understand its overall financial position.
- Analyze the income statement and examine the company's revenue, expenses, and profits over time to determine its financial performance.
- Study the cash flow inflows and outflows to understand Artificial Intelligence's liquidity and solvency.
- Look at the growth rates in revenue, earnings, and cash flow over time to determine its potential for future growth.
- Compare Artificial Intelligence's financials to those of its peers to see how it stacks up and identify any potential red flags.
- Use valuation ratios to evaluate the company's financials using commonly used ratios such as the price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and enterprise value-to-earnings before interest, taxes, depreciation, and amortization (EV/EBITDA) ratio to determine if Artificial Intelligence's stock is overvalued or undervalued.
Artificial Intelligence April 24, 2024 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Artificial Intelligence help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Artificial Intelligence Technology. We use our internally-developed statistical techniques to arrive at the intrinsic value of Artificial Intelligence Technology based on widely used predictive technical indicators. In general, we focus on analyzing Artificial Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Artificial Intelligence's daily price indicators and compare them against related drivers.
| Downside Deviation | 6.48 | |||
| Information Ratio | 0.0505 | |||
| Maximum Drawdown | 70.85 | |||
| Value At Risk | (8.70) | |||
| Potential Upside | 10.0 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Artificial Intelligence Technology. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in estimate. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary Tools for Artificial Pink Sheet analysis
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.
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