Applied Opt Stock Piotroski F Score
| AAOI Stock | USD 11.13 0.99 8.17% |
Applied | Piotroski F Score |
At this time, it appears that Applied Opt'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..
6.0
Piotroski F Score - Healthy
| Current Return On Assets | Negative |
| Change in Return on Assets | Increased |
| Cash Flow Return on Assets | Negative |
| Current Quality of Earnings (accrual) | Improving |
| Asset Turnover Growth | Increase |
| Current Ratio Change | Decrease |
| Long Term Debt Over Assets Change | Lower Leverage |
| Change In Outstending Shares | Decrease |
| Change in Gross Margin | Increase |
Applied Opt Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Applied Opt is to make sure Applied is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Applied Opt'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 Applied Opt's financial numbers are properly reported.
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Asset Turnover | 0.74 | 0.5592 |
|
| |||||
| Gross Profit Margin | 0.32 | 0.2707 |
|
| |||||
| Total Current Liabilities | 81.3 M | 93.4 M |
|
| |||||
| Non Current Liabilities Total | 57.4 M | 81 M |
|
| |||||
| Total Assets | 349.4 M | 389.2 M |
|
| |||||
| Total Current Assets | 164.6 M | 172.6 M |
|
|
Applied Opt 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 Applied Opt's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Applied Opt in a much-optimized way.
Click cells to compare fundamentals
About Applied Opt 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 |
|
Applied Opt Current Valuation Drivers
We derive many important indicators used in calculating different scores of Applied Opt from analyzing Applied Opt's financial statements. These drivers represent accounts that assess Applied Opt's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Applied Opt's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 237.4M | 186.1M | 138.3M | 52.6M | 617.2M | 648.0M | |
| Enterprise Value | 304.6M | 297.6M | 239.8M | 167.1M | 692.9M | 727.5M |
About Applied Opt Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Applied Opt's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Applied Opt using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Applied Opt 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.
Applied Opt Implied Volatility | 80.6 |
Applied Opt's implied volatility exposes the market's sentiment of Applied Opt stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Applied Opt's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Applied Opt stock will not fluctuate a lot when Applied Opt's options are near their expiration.
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 Applied Opt 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, Applied Opt's short interest history, or implied volatility extrapolated from Applied Opt options trading.
Pair Trading with Applied Opt
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 Applied Opt 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 Applied Opt will appreciate offsetting losses from the drop in the long position's value.Moving against Applied Stock
| 0.76 | GE | GE Aerospace Earnings Call Today | PairCorr |
| 0.76 | XOM | Exxon Mobil Corp Earnings Call This Week | PairCorr |
| 0.73 | AA | Alcoa Corp Financial Report 17th of July 2024 | PairCorr |
| 0.73 | MMM | 3M Company Earnings Call This Week | PairCorr |
| 0.63 | WMT | Walmart Financial Report 16th of May 2024 | PairCorr |
The ability to find closely correlated positions to Applied Opt could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied Opt 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 Applied Opt - 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 Applied Opt to buy it.
The correlation of Applied Opt 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 Applied Opt moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied Opt 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 Applied Opt 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 Applied Opt Altman Z Score, Applied Opt Correlation, Applied Opt Valuation, as well as analyze Applied Opt Alpha and Beta and Applied Opt Hype Analysis. For more detail on how to invest in Applied Stock please use our How to Invest in Applied Opt guide.You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Applied Stock analysis
When running Applied Opt's price analysis, check to measure Applied Opt'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 Applied Opt is operating at the current time. Most of Applied Opt's value examination focuses on studying past and present price action to predict the probability of Applied Opt's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Opt's price. Additionally, you may evaluate how the addition of Applied Opt to your portfolios can decrease your overall portfolio volatility.
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules |
Is Applied Opt'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 Applied Opt. If investors know Applied 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 Applied Opt listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.75) | Revenue Per Share 6.813 | Quarterly Revenue Growth (0.02) | Return On Assets (0.06) | Return On Equity (0.28) |
The market value of Applied Opt is measured differently than its book value, which is the value of Applied that is recorded on the company's balance sheet. Investors also form their own opinion of Applied Opt's value that differs from its market value or its book value, called intrinsic value, which is Applied Opt'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 Applied Opt's market value can be influenced by many factors that don't directly affect Applied Opt'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 Applied Opt's value and its price as these two are different measures arrived at by different means. Investors typically determine if Applied Opt is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Applied Opt'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.