Fobi Ai Stock Current Liabilities

Understanding the fundamental principles of building solid financial models for Fobi AI is extremely important. It helps to project a fair market value of Fobi Stock properly, considering its historical fundamentals such as Current Liabilities. Since Fobi AI's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Fobi AI's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Fobi AI's interrelated accounts and indicators.

Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.

In accordance with the recently published financial statements, Fobi AI has a Current Liabilities of 0.0. This is 100.0% lower than that of the Software sector and about the same as Information Technology (which currently averages 0.0) industry. The current liabilities for all Canada stocks is 100.0% higher than that of the company.

The Macroaxis Fundamental Analysis modules help investors analyze Fobi AI's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fobi AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fobi AI 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.

When running Fobi AI's price analysis, check to measure Fobi AI'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 Fobi AI is operating at the current time. Most of Fobi AI's value examination focuses on studying past and present price action to predict the probability of Fobi AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fobi AI's price. Additionally, you may evaluate how the addition of Fobi AI to your portfolios can decrease your overall portfolio volatility.