Applied Dna Sciences Stock Piotroski F Score

APDN Stock  USD 0.15  0.01  6.25%   
This module uses fundamental data of Applied DNA to approximate its Piotroski F score. Applied DNA F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Applied DNA Sciences. 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 Applied DNA financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Applied DNA Altman Z Score, Applied DNA Correlation, Applied DNA Valuation, as well as analyze Applied DNA Alpha and Beta and Applied DNA Hype Analysis.
  
At this time, Applied DNA's Short and Long Term Debt Total is very stable compared to the past year. As of the 29th of November 2024, Short and Long Term Debt is likely to grow to about 2.2 M, though Net Debt is likely to grow to (5.1 M). At this time, Applied DNA's Tangible Book Value Per Share is very stable compared to the past year. As of the 29th of November 2024, Receivables Turnover is likely to grow to 49.44, while Price To Sales Ratio is likely to drop 1.29.
At this time, it appears that Applied DNA'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
Current Return On Assets

Negative

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Increase

Focus
Change in Gross Margin

Increase

Focus

Applied DNA Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Applied DNA is to make sure Applied is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Applied DNA'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 Applied DNA's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.930.88
Notably Up
Slightly volatile
Gross Profit Margin0.740.48
Way Up
Slightly volatile
Total Current Liabilities3.9 M3.3 M
Fairly Up
Slightly volatile
Non Current Liabilities Total7.2 M6.8 M
Sufficiently Up
Slightly volatile
Total Assets16.5 M15.7 M
Sufficiently Up
Slightly volatile
Total Current AssetsM9.3 M
Way Down
Slightly volatile

Applied DNA Sciences 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 Applied DNA's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Applied DNA in a much-optimized way.

About Applied DNA 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.

Book Value Per Share

0.11

At this time, Applied DNA's Book Value Per Share is very stable compared to the past year.

About Applied DNA Fundamental Analysis

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

Pair Trading with Applied DNA

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 Applied DNA 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 Applied DNA will appreciate offsetting losses from the drop in the long position's value.

Moving against Applied Stock

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The ability to find closely correlated positions to Applied DNA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied DNA 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 Applied DNA - 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 Applied DNA Sciences to buy it.
The correlation of Applied DNA 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 Applied DNA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied DNA Sciences 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 Applied DNA 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.
Pair CorrelationCorrelation Matching
When determining whether Applied DNA Sciences offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Applied DNA's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Applied Dna Sciences Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Applied Dna Sciences Stock:
Is Electronic Equipment, Instruments & Components 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 Applied DNA. If investors know Applied 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 Applied DNA listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(7.50)
Revenue Per Share
2.202
Quarterly Revenue Growth
(0.73)
Return On Assets
(0.57)
Return On Equity
(0.76)
The market value of Applied DNA Sciences is measured differently than its book value, which is the value of Applied that is recorded on the company's balance sheet. Investors also form their own opinion of Applied DNA's value that differs from its market value or its book value, called intrinsic value, which is Applied DNA'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 Applied DNA's market value can be influenced by many factors that don't directly affect Applied DNA'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 Applied DNA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Applied DNA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Applied DNA'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.