Digimarc Stock Piotroski F Score

DMRC Stock  USD 22.23  0.01  0.04%   
This module uses fundamental data of Digimarc to approximate its Piotroski F score. Digimarc F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Digimarc. 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 Digimarc financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Digimarc Altman Z Score, Digimarc Correlation, Digimarc Valuation, as well as analyze Digimarc Alpha and Beta and Digimarc Hype Analysis.
For information on how to trade Digimarc Stock refer to our How to Trade Digimarc Stock guide.
  
At present, Digimarc's Short Term Debt is projected to increase significantly based on the last few years of reporting. The current year's Net Debt To EBITDA is expected to grow to 0.41, whereas Net Debt is forecasted to decline to (16.2 M). At present, Digimarc's PTB Ratio is projected to increase based on the last few years of reporting. The current year's Invested Capital is expected to grow to 0.11, whereas Dividend Yield is forecasted to decline to 0.0001.
At this time, it appears that Digimarc'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

Higher Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

Increase

Focus

Digimarc Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Digimarc is to make sure Digimarc is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Digimarc'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 Digimarc's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.460.4327
Notably Up
Slightly volatile
Gross Profit Margin0.740.5786
Significantly Up
Slightly volatile
Total Current Liabilities13.2 M12.5 M
Sufficiently Up
Slightly volatile
Non Current Liabilities Total6.4 M6.1 M
Sufficiently Up
Slightly volatile
Total Assets70.4 M80.6 M
Fairly Down
Slightly volatile
Total Current Assets52.5 M37.1 M
Significantly Up
Slightly volatile

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

About Digimarc 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

2.89

At present, Digimarc's Book Value Per Share is projected to slightly decrease based on the last few years of reporting.

About Digimarc Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Digimarc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Digimarc using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Digimarc 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Digimarc in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Digimarc's short interest history, or implied volatility extrapolated from Digimarc options trading.

Pair Trading with Digimarc

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

Moving together with Digimarc Stock

  0.93G Genpact Limited Financial Report 8th of May 2024 PairCorr

Moving against Digimarc Stock

  0.87FIS Fidelity NationalPairCorr
  0.7DTST Data Storage CorpPairCorr
  0.66FI Fiserv Inc Symbol ChangePairCorr
  0.46WAVD WavedancerPairCorr
The ability to find closely correlated positions to Digimarc could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digimarc 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 Digimarc - 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 Digimarc to buy it.
The correlation of Digimarc 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 Digimarc moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digimarc 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 Digimarc 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 Digimarc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Digimarc'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 Digimarc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Digimarc Stock:
Check out Digimarc Altman Z Score, Digimarc Correlation, Digimarc Valuation, as well as analyze Digimarc Alpha and Beta and Digimarc Hype Analysis.
For information on how to trade Digimarc Stock refer to our How to Trade Digimarc Stock guide.
You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.

Complementary Tools for Digimarc Stock analysis

When running Digimarc's price analysis, check to measure Digimarc'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 Digimarc is operating at the current time. Most of Digimarc's value examination focuses on studying past and present price action to predict the probability of Digimarc's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digimarc's price. Additionally, you may evaluate how the addition of Digimarc to your portfolios can decrease your overall portfolio volatility.
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Stocks Directory
Find actively traded stocks across global markets
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Global Correlations
Find global opportunities by holding instruments from different markets
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Is Digimarc's industry 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 Digimarc. If investors know Digimarc 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 Digimarc listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(2.26)
Revenue Per Share
1.715
Quarterly Revenue Growth
0.286
Return On Assets
(0.31)
Return On Equity
(0.58)
The market value of Digimarc is measured differently than its book value, which is the value of Digimarc that is recorded on the company's balance sheet. Investors also form their own opinion of Digimarc's value that differs from its market value or its book value, called intrinsic value, which is Digimarc'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 Digimarc's market value can be influenced by many factors that don't directly affect Digimarc'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 Digimarc's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digimarc is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digimarc'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.