Alimera Sciences Stock Piotroski F Score

ALIM Stock  USD 3.59  0.05  1.41%   
This module uses fundamental data of Alimera Sciences to approximate its Piotroski F score. Alimera Sciences F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Alimera 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 Alimera Sciences financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Alimera Sciences Altman Z Score, Alimera Sciences Correlation, Alimera Sciences Valuation, as well as analyze Alimera Sciences Alpha and Beta and Alimera Sciences Hype Analysis.
To learn how to invest in Alimera Stock, please use our How to Invest in Alimera Sciences guide.
  
At this time, Alimera Sciences' Long Term Debt To Capitalization is very stable compared to the past year. As of the 24th of April 2024, Total Debt To Capitalization is likely to grow to 0.62, while Short and Long Term Debt is likely to drop about 17.3 M. At this time, Alimera Sciences' Capex To Operating Cash Flow is very stable compared to the past year. As of the 24th of April 2024, Income Quality is likely to grow to 0.94, while Dividend Yield is likely to drop 0.01.
At this time, it appears that Alimera Sciences' 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..
3.0
Piotroski F Score - Frail
Current Return On Assets

Negative

Focus
Change in Return on Assets

Decreased

Focus
Cash Flow Return on Assets

Negative

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Increase

Focus
Long Term Debt Over Assets Change

Higher Leverage

Focus
Change In Outstending Shares

Increase

Focus
Change in Gross Margin

No Change

Focus

Alimera Sciences Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Alimera Sciences is to make sure Alimera is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Alimera Sciences' 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 Alimera Sciences' financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.540.526
Fairly Up
Slightly volatile
Gross Profit Margin0.630.7575
Significantly Down
Slightly volatile
Total Current Liabilities14.3 M21.9 M
Way Down
Slightly volatile
Non Current Liabilities Total89.7 M85.4 M
Sufficiently Up
Slightly volatile
Total Assets161.2 M153.5 M
Sufficiently Up
Slightly volatile
Total Current Assets42.4 M52.4 M
Significantly Down
Very volatile

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

About Alimera Sciences 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

1.9

At this time, Alimera Sciences' Book Value Per Share is very stable compared to the past year.

Alimera Sciences Current Valuation Drivers

We derive many important indicators used in calculating different scores of Alimera Sciences from analyzing Alimera Sciences' financial statements. These drivers represent accounts that assess Alimera Sciences' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Alimera Sciences' important valuation drivers and their relationship over time.
201920202021202220232024 (projected)
Market Cap36.2M21.6M33.8M19.0M110.4M99.6M
Enterprise Value65.7M55.0M60.9M58.0M165.7M108.5M

About Alimera Sciences Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Alimera Sciences's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alimera Sciences using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alimera 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.
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 Alimera Sciences 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, Alimera Sciences' short interest history, or implied volatility extrapolated from Alimera Sciences options trading.

Pair Trading with Alimera Sciences

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 Alimera Sciences 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 Alimera Sciences will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Alimera Sciences could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alimera Sciences 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 Alimera Sciences - 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 Alimera Sciences to buy it.
The correlation of Alimera Sciences 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 Alimera Sciences moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alimera 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 Alimera Sciences 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 Alimera Sciences is a strong investment it is important to analyze Alimera Sciences' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Alimera Sciences' future performance. For an informed investment choice regarding Alimera Stock, refer to the following important reports:
Check out Alimera Sciences Altman Z Score, Alimera Sciences Correlation, Alimera Sciences Valuation, as well as analyze Alimera Sciences Alpha and Beta and Alimera Sciences Hype Analysis.
To learn how to invest in Alimera Stock, please use our How to Invest in Alimera Sciences guide.
You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.

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Is Alimera Sciences' 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 Alimera Sciences. If investors know Alimera 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 Alimera Sciences listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.84)
Revenue Per Share
3.159
Quarterly Revenue Growth
0.875
Return On Assets
(0.01)
Return On Equity
(1.59)
The market value of Alimera Sciences is measured differently than its book value, which is the value of Alimera that is recorded on the company's balance sheet. Investors also form their own opinion of Alimera Sciences' value that differs from its market value or its book value, called intrinsic value, which is Alimera Sciences' 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 Alimera Sciences' market value can be influenced by many factors that don't directly affect Alimera Sciences' 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 Alimera Sciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Alimera Sciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alimera Sciences' 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.