A10 Network Stock Piotroski F Score
| ATEN Stock | USD 12.94 0.09 0.70% |
A10 | Piotroski F Score |
At this time, it appears that A10 Network'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..
7.0
Piotroski F Score - Strong
| Current Return On Assets | Positive |
| Change in Return on Assets | Increased |
| Cash Flow Return on Assets | Positive |
| Current Quality of Earnings (accrual) | Improving |
| Asset Turnover Growth | Increase |
| Current Ratio Change | Decrease |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | Decrease |
| Change in Gross Margin | No Change |
A10 Network Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to A10 Network is to make sure A10 is not a subject of accounting manipulations and runs a healthy internal audit department. So, if A10 Network'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 A10 Network's financial numbers are properly reported.
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
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| Asset Turnover | 1.08 | 0.6358 |
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| Gross Profit Margin | 0.62 | 0.8094 |
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| Total Current Liabilities | 109.1 M | 111.1 M |
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| Non Current Liabilities Total | 50.6 M | 77 M |
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| Total Assets | 269.9 M | 395.9 M |
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| Total Current Assets | 217.7 M | 265.6 M |
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A10 Network 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 A10 Network's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards A10 Network in a much-optimized way.
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About A10 Network 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 |
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About A10 Network Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze A10 Network's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of A10 Network using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of A10 Network 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 A10 Network 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, A10 Network's short interest history, or implied volatility extrapolated from A10 Network options trading.
Pair Trading with A10 Network
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 A10 Network 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 A10 Network will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to A10 Network could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A10 Network 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 A10 Network - 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 A10 Network to buy it.
The correlation of A10 Network 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 A10 Network moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A10 Network 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 A10 Network 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.Check out A10 Network Altman Z Score, A10 Network Correlation, A10 Network Valuation, as well as analyze A10 Network Alpha and Beta and A10 Network Hype Analysis. To learn how to invest in A10 Stock, please use our How to Invest in A10 Network guide.Note that the A10 Network information on this page should be used as a complementary analysis to other A10 Network's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Complementary Tools for A10 Stock analysis
When running A10 Network's price analysis, check to measure A10 Network'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 A10 Network is operating at the current time. Most of A10 Network's value examination focuses on studying past and present price action to predict the probability of A10 Network's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move A10 Network's price. Additionally, you may evaluate how the addition of A10 Network to your portfolios can decrease your overall portfolio volatility.
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Is A10 Network'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 A10 Network. If investors know A10 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 A10 Network 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 0.032 | Dividend Share 0.24 | Earnings Share 0.53 | Revenue Per Share 3.392 | Quarterly Revenue Growth (0.09) |
The market value of A10 Network is measured differently than its book value, which is the value of A10 that is recorded on the company's balance sheet. Investors also form their own opinion of A10 Network's value that differs from its market value or its book value, called intrinsic value, which is A10 Network'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 A10 Network's market value can be influenced by many factors that don't directly affect A10 Network'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 A10 Network's value and its price as these two are different measures arrived at by different means. Investors typically determine if A10 Network is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, A10 Network'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.