Spectral Ai Stock Z Score

Understanding the fundamental principles of building solid financial models for Spectral is extremely important. It helps to project a fair market value of Spectral Stock properly, considering its historical fundamentals such as Z Score. Since Spectral'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 Spectral'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 Spectral's interrelated accounts and indicators.

To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.

Based on the company's disclosures, Spectral AI has a Z Score of 0.0. This is 100.0% lower than that of the Health Care Equipment & Supplies sector and 100.0% lower than that of the Health Care industry. The z score for all United States stocks is 100.0% higher than that of the company.

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

Check out Spectral Piotroski F Score and Spectral Valuation analysis. Note that the Spectral AI information on this page should be used as a complementary analysis to other Spectral's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

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

Is Spectral's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Spectral. If investors know Spectral will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Spectral listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.

The market value of Spectral AI is measured differently than its book value, which is the value of Spectral that is recorded on the company's balance sheet. Investors also form their own opinion of Spectral's value that differs from its market value or its book value, called intrinsic value, which is Spectral's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Spectral's market value can be influenced by many factors that don't directly affect Spectral's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.

Please note, there is a significant difference between Spectral's value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectral is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spectral's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.