This module uses fundamental data of Reitar Logtech to approximate its Piotroski F score. Reitar Logtech F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Reitar Logtech Holdings. 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 Reitar Logtech financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Reitar Logtech Altman Z Score, Reitar Logtech Correlation, Reitar Logtech Valuation, as well as analyze Reitar Logtech Alpha and Beta and Reitar Logtech Hype Analysis.
Reitar
Piotroski F Score
Investments
Change In Cash
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Depreciation
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Total Assets
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Net Receivables
Total Liab
Net Invested Capital
Property Plant And Equipment Gross
Short Long Term Debt
Total Current Assets
Capital Stock
Net Working Capital
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Net Interest Income
Interest Income
Interest Expense
Selling General Administrative
Total Revenue
Gross Profit
Operating Income
Net Income From Continuing Ops
Cost Of Revenue
Total Operating Expenses
Reconciled Depreciation
Income Before Tax
Total Other Income Expense Net
Probability Of Bankruptcy
As of 11/25/2024, Short and Long Term Debt is likely to grow to about 42.9 M, while Net Debt is likely to drop slightly above 27.6 M.
At this time, it appears that Reitar Logtech's Piotroski F Score is Frail. 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..
The critical factor to consider when applying the Piotroski F Score to Reitar Logtech is to make sure Reitar is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Reitar Logtech'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 Reitar Logtech's financial numbers are properly reported.
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 Reitar Logtech's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Reitar Logtech in a much-optimized way.
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.
Short Long Term Debt
42.9 Million
At this time, Reitar Logtech's Short and Long Term Debt is relatively stable compared to the past year.
About Reitar Logtech Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Reitar Logtech Holdings's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Reitar Logtech using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Reitar Logtech Holdings 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.
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Reitar Logtech position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Reitar Logtech will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Reitar Logtech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Reitar Logtech when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Reitar Logtech - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Reitar Logtech Holdings to buy it.
The correlation of Reitar Logtech is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Reitar Logtech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Reitar Logtech Holdings moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Reitar Logtech can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
When running Reitar Logtech's price analysis, check to measure Reitar Logtech'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 Reitar Logtech is operating at the current time. Most of Reitar Logtech's value examination focuses on studying past and present price action to predict the probability of Reitar Logtech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Reitar Logtech's price. Additionally, you may evaluate how the addition of Reitar Logtech to your portfolios can decrease your overall portfolio volatility.