| MDAI Stock | | | 1.62 0.07 4.52% |
This module uses fundamental data of Spectral to approximate its Piotroski F score. Spectral F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Spectral AI. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Spectral financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Spectral Altman Z Score,
Spectral Correlation,
Spectral Valuation, as well as analyze
Spectral Alpha and Beta and
Spectral Hype Analysis.
As of now, Spectral's
Debt To Assets are increasing as compared to previous years. The Spectral's current
Debt Ratio is estimated to increase to 0.13, while
Short and Long Term Debt Total is projected to decrease to under 1.1
M.
At this time, it appears that Spectral's Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
5.0
Piotroski F Score - Healthy
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
Spectral Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Spectral is to make sure Spectral is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Spectral's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Spectral's financial numbers are properly reported.
Spectral AI F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Spectral's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Spectral in a much-optimized way.
Click cells to compare fundamentals
About Spectral Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
About Spectral Fundamental Analysis
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.
Please read more on our
fundamental analysis page.
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Additional Information and Resources on Investing in Spectral Stock
When determining whether Spectral AI is a strong investment it is important to analyze Spectral's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Spectral's
future performance.
For an informed investment choice regarding Spectral Stock, refer to the following important reports: Is Health Care Equipment & Supplies space 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.
Earnings Share | Revenue Per Share | Quarterly Revenue Growth | Return On Assets | Return On Equity |
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.