Decision Diagnostics Stock Beneish M Score

DECN Stock  USD 0.0001  0.00  0.00%   
This module uses fundamental data of Decision Diagnostics to approximate the value of its Beneish M Score. Decision Diagnostics M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Decision Diagnostics Piotroski F Score and Decision Diagnostics Altman Z Score analysis.
To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.
  
At this time, Decision Diagnostics' Long Term Debt is very stable compared to the past year. As of the 22nd of January 2025, Debt To Equity is likely to grow to 5.51, while Short and Long Term Debt is likely to drop about 1.9 M. At this time, Decision Diagnostics' Debt To Equity is very stable compared to the past year.
At this time, it appears that Decision Diagnostics is an unlikely manipulator. The earnings manipulation may begin if Decision Diagnostics' top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Decision Diagnostics executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Decision Diagnostics' earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-3.13
Beneish M Score - Unlikely Manipulator
Elasticity of Receivables

1.49

Focus
Asset Quality

0.56

Focus
Expense Coverage

1.05

Focus
Gross Margin Strengs

0.65

Focus
Accruals Factor

1.05

Focus
Depreciation Resistance

N/A

Focus
Net Sales Growth

0.95

Focus
Financial Leverage Condition

0.89

Focus

Decision Diagnostics Beneish M-Score Indicator Trends

The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if Decision Diagnostics' 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.
Current ValueLast YearChange From Last Year 10 Year Trend
Net Receivables1.2 M849.4 K
Significantly Up
Slightly volatile
Total Revenue1.7 M1.8 M
Notably Down
Slightly volatile
Total Assets5.2 M6.5 M
Significantly Down
Slightly volatile
Total Current Assets2.5 M1.5 M
Way Up
Slightly volatile
Non Current Assets Total4.4 M4.6 M
Notably Down
Slightly volatile
Property Plant Equipment771.4 K922.7 K
Fairly Down
Slightly volatile
Selling General Administrative2.6 M2.7 M
Slightly Down
Very volatile
Total Current Liabilities3.5 M5.7 M
Way Down
Slightly volatile
Non Current Liabilities Total196.1 K220.6 K
Fairly Down
Slightly volatile
Net DebtM2.2 M
Notably Down
Slightly volatile
Short Term Debt1.6 M2.3 M
Way Down
Slightly volatile
Long Term Debt632.7 K549.3 K
Fairly Up
Slightly volatile

Decision Diagnostics Beneish M-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 detect the potential manipulation of earnings. Understanding the correlation between Decision Diagnostics' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Decision Diagnostics in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Decision Diagnostics' degree of accounting gimmicks and manipulations.

About Decision Diagnostics Beneish M Score

M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.

Total Assets

5.18 Million

At this time, Decision Diagnostics' Total Assets are very stable compared to the past year.

About Decision Diagnostics Fundamental Analysis

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

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 Decision Diagnostics 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 Decision Diagnostics will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Decision Diagnostics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Decision Diagnostics 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 Decision Diagnostics - 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 Decision Diagnostics to buy it.
The correlation of Decision Diagnostics 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 Decision Diagnostics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Decision Diagnostics 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 Decision Diagnostics 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 Decision Diagnostics offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Decision Diagnostics' 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 Decision Diagnostics Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Decision Diagnostics Stock:
Check out Decision Diagnostics Piotroski F Score and Decision Diagnostics Altman Z Score analysis.
To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Is Health Care Technology 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 Decision Diagnostics. If investors know Decision 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 Decision Diagnostics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.02)
Revenue Per Share
0.006
Quarterly Revenue Growth
(0)
Return On Assets
(0.21)
Return On Equity
(81.61)
The market value of Decision Diagnostics is measured differently than its book value, which is the value of Decision that is recorded on the company's balance sheet. Investors also form their own opinion of Decision Diagnostics' value that differs from its market value or its book value, called intrinsic value, which is Decision Diagnostics' 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 Decision Diagnostics' market value can be influenced by many factors that don't directly affect Decision Diagnostics' 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 Decision Diagnostics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Decision Diagnostics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Decision Diagnostics' 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.