DATSW Stock | | | USD 0.04 0 4.88% |
This module uses fundamental data of DatChat Series to approximate its Piotroski F score. DatChat Series F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of DatChat Series A. 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 DatChat Series financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
DatChat Series Altman Z Score,
DatChat Series Correlation,
DatChat Series Valuation, as well as analyze
DatChat Series Alpha and Beta and
DatChat Series Hype Analysis.
At this time, DatChat Series'
Short and Long Term Debt Total is fairly stable compared to the past year.
Short Term Debt is likely to climb to about 113.1
K in 2024, whereas
Short and Long Term Debt is likely to drop 9,871 in 2024. At this time, DatChat Series'
PTB Ratio is fairly stable compared to the past year.
Average Payables is likely to climb to about 435.5
K in 2024, despite the fact that
Free Cash Flow Yield is likely to grow to
(1.07).
At this time, it appears that DatChat Series' Piotroski F Score is Poor. 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..
4.0
Piotroski F Score - Poor
| Current Return On Assets | Negative | Focus |
| Change in Return on Assets | Decreased | Focus |
| Cash Flow Return on Assets | Negative | Focus |
| Current Quality of Earnings (accrual) | Improving | Focus |
| Asset Turnover Growth | Decrease | Focus |
| Current Ratio Change | Increase | Focus |
| Long Term Debt Over Assets Change | Lower Leverage | Focus |
| Change In Outstending Shares | Increase | Focus |
| Change in Gross Margin | Increase | Focus |
DatChat Series Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to DatChat Series is to make sure DatChat is not a subject of accounting manipulations and runs a healthy internal audit department. So, if DatChat Series' 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 DatChat Series' financial numbers are properly reported.
DatChat Series A 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 DatChat Series' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards DatChat Series in a much-optimized way.
Click cells to compare fundamentals
About DatChat Series 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 DatChat Series Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DatChat Series A's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DatChat Series using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of DatChat Series A 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 Tools for DatChat Stock Analysis
When running DatChat Series' price analysis, check to
measure DatChat Series' 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 DatChat Series is operating at the current time. Most of DatChat Series' value examination focuses on studying past and present price action to
predict the probability of DatChat Series' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DatChat Series' price. Additionally, you may evaluate how the addition of DatChat Series to your portfolios can decrease your overall portfolio volatility.