Acacia Piotroski F Score


USD 3.91  0.05  1.26%   

This module uses fundamental data of Acacia Research to approximate its Piotroski F score. Acacia Research F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Acacia Research. 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 Acacia Research financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Please continue to Acacia Research Altman Z Score, Acacia Research Correlation, Acacia Research Valuation, as well as analyze Acacia Research Alpha and Beta and Acacia Research Hype Analysis.
Acacia Research Issuance Repayment of Debt Securities is projected to based on the last few years of reporting. The past year's Issuance Repayment of Debt Securities was at 65 Million. Acacia Research Receivables Turnover is projected to slightly decrease based on the last few years of reporting. The past year's Receivables Turnover was at 17.57. The current year Accounts Payable Turnover is expected to grow to 27.98, whereas Accrued Expenses Turnover is forecasted to decline to 16.29.
At this time, it appears that Acacia Research's Piotroski F Score is Strong. 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..
Piotroski F Score - Strong
Current Return On AssetsPositiveFocus
Change in Return on AssetsIncreasedFocus
Cash Flow Return on AssetsPositiveFocus
Current Quality of Earnings (accrual)DecreasingFocus
Asset Turnover GrowthIncreaseFocus
Current Ratio ChangeIncreaseFocus
Long Term Debt Over Assets ChangeLower LeverageFocus
Change In Outstending SharesDecreaseFocus
Change in Gross MarginIncreaseFocus

Acacia Research Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Acacia Research is to make sure Acacia is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Acacia Research'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 Acacia Research's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Weighted Average Shares Diluted106.2 M98.5 M
Significantly Up
Slightly volatile
Weighted Average Shares45.5 M48.8 M
Significantly Down
Slightly volatile
Return on Average Assets24.522.7023
Significantly Up
Very volatile
Net Cash Flow from Operations20.1 M13.3 M
Way Up
Slightly volatile
Current Liabilities216 M200.2 M
Significantly Up
Slightly volatile
Total Liabilities393.5 M364.7 M
Significantly Up
Slightly volatile
Gross Margin63.6659.0014
Significantly Up
Very volatile
Total Debt154.6 M183.3 M
Fairly Down
Slightly volatile
Asset Turnover0.140.134
Sufficiently Up
Slightly volatile
Current Assets788.4 M730.7 M
Significantly Up
Slightly volatile
Total Assets861.9 M798.9 M
Significantly Up
Slightly volatile

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

About Acacia Research 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


Acacia Research Book Value per Share is projected to drop slightly based on the last few years of reporting. The past year's Book Value per Share was at 8.60

Acacia Research Current Valuation Drivers

We derive many important indicators used in calculating different scores of Acacia Research from analyzing Acacia Research's financial statements. These drivers represent accounts that assess Acacia Research's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Acacia Research's important valuation drivers and their relationship over time.
201720182019202020212022 (projected)
Net Income Per Employee1.71 M(8.08 M)(1.01 M)5.66 M509.2 K549.4 K
Revenue Per Employee5.03 M10.12 M661.53 K1.49 M300.5 K308.41 K
Average Assets321.83 M253.13 M206.99 M386.42 M686.35 M547.79 M
Earnings Before Interest Taxes and Depreciation Amortization EBITDA45.41 M(77.52 M)(21.23 M)122.05 M188.83 M203.74 M
Earnings Before Interest Taxes and Depreciation Amortization USD25.14 M(76.7 M)(15.71 M)123.01 M192.09 M207.26 M
Earnings before Tax2.9 M(103.85 M)(18.94 M)108.07 M173.48 M187.18 M
Average Equity299.4 M222 M177.6 M200.13 M223.68 M264.94 M
Enterprise Value103.87 M38.36 M67.05 M146.63 M219.21 M283.57 M
Free Cash Flow12.96 M20.84 M(2.49 M)(19.82 M)13.23 M14.28 M
Invested Capital100.69 M57.52 M142.54 M320.65 M416.74 M449.64 M
Invested Capital Average141.19 M77.35 M114.72 M219.55 M404.69 M436.64 M
Market Capitalization204.95 M147.93 M133.91 M194.16 M254.41 M359.75 M
Tangible Asset Value246.85 M217.36 M210.35 M494.39 M742.59 M801.22 M
Working Capital130.14 M170.44 M161.55 M332.85 M530.49 M418.91 M

About Acacia Research Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Acacia Research's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Acacia Research using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Acacia Research 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.
Acacia Research Corporation, together with its subsidiaries, invests in intellectual property and related absolute return assets and engages in the licensing and enforcement of patented technologies. Acacia Research Corporation was incorporated in 1993 and is based in New York, New York. Acacia Res-Acacia operates under Specialty Business Services classification in the United States and is traded on NASDAQ Exchange. It employs 287 people.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Acacia Research without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with Acacia Research

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 Acacia Research 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 Acacia Research will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Acacia Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Acacia Research 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 Acacia Research - 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 Acacia Research to buy it.
The correlation of Acacia Research is a statistical measure of how it moves in relation to other equities. 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 Acacia Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Acacia Research 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 Acacia Research 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
Please continue to Acacia Research Altman Z Score, Acacia Research Correlation, Acacia Research Valuation, as well as analyze Acacia Research Alpha and Beta and Acacia Research Hype Analysis. You can also try Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

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Is Acacia Research'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 Acacia Research. If investors know Acacia 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 Acacia Research listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
Market Capitalization
178.1 M
Quarterly Revenue Growth YOY
Return On Assets
Return On Equity
The market value of Acacia Research is measured differently than its book value, which is the value of Acacia that is recorded on the company's balance sheet. Investors also form their own opinion of Acacia Research's value that differs from its market value or its book value, called intrinsic value, which is Acacia Research'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 Acacia Research's market value can be influenced by many factors that don't directly affect Acacia Research'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 Acacia Research's value and its price as these two are different measures arrived at by different means. Investors typically determine Acacia Research value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Acacia Research'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.