Autozone Stock Piotroski F Score

AZO Stock  USD 2,958  6.12  0.21%   
This module uses fundamental data of AutoZone to approximate its Piotroski F score. AutoZone F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of AutoZone. 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 AutoZone financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out AutoZone Altman Z Score, AutoZone Correlation, AutoZone Valuation, as well as analyze AutoZone Alpha and Beta and AutoZone Hype Analysis.
To learn how to invest in AutoZone Stock, please use our How to Invest in AutoZone guide.
  
At this time, AutoZone's Short and Long Term Debt Total is very stable compared to the past year. As of the 6th of May 2024, Net Debt is likely to grow to about 12.9 B, while Long Term Debt Total is likely to drop about 5.5 B. At this time, AutoZone's POCF Ratio is very stable compared to the past year. As of the 6th of May 2024, Interest Coverage is likely to grow to 12.59, while Price To Sales Ratio is likely to drop 1.38.
At this time, it appears that AutoZone'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

Positive

Focus
Change in Return on Assets

Decreased

Focus
Cash Flow Return on Assets

Positive

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

Decrease

Focus
Change in Gross Margin

No Change

Focus

AutoZone Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to AutoZone is to make sure AutoZone is not a subject of accounting manipulations and runs a healthy internal audit department. So, if AutoZone'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 AutoZone's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Return On Assets0.10.1634
Way Down
Slightly volatile
Asset Turnover1.521.1989
Significantly Up
Pretty Stable
Gross Profit Margin0.380.5365
Way Down
Pretty Stable
Net Debt12.9 B12.3 B
Sufficiently Up
Slightly volatile
Total Current Liabilities10.3 B9.8 B
Sufficiently Up
Slightly volatile
Non Current Liabilities Total14.3 B13.6 B
Sufficiently Up
Slightly volatile
Total Assets19.3 B18.4 B
Sufficiently Up
Slightly volatile
Total Current Assets8.2 B7.8 B
Sufficiently Up
Slightly volatile
Total Cash From Operating Activities3.6 B3.4 B
Sufficiently Up
Slightly volatile

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

About AutoZone 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.

Common Stock Shares Outstanding

16.33 Million

At this time, AutoZone's Common Stock Shares Outstanding is very stable compared to the past year.

AutoZone ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, AutoZone's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to AutoZone's managers, analysts, and investors.
Environment Score
Governance Score
Social Score

About AutoZone Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze AutoZone's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of AutoZone using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of AutoZone 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.

AutoZone Investors Sentiment

The influence of AutoZone's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in AutoZone. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to AutoZone's public news can be used to forecast risks associated with an investment in AutoZone. The trend in average sentiment can be used to explain how an investor holding AutoZone can time the market purely based on public headlines and social activities around AutoZone. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
AutoZone's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for AutoZone's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average AutoZone's news discussions. The higher the estimated score, the more favorable is the investor's outlook on AutoZone.
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 AutoZone 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, AutoZone's short interest history, or implied volatility extrapolated from AutoZone options trading.

Pair Trading with AutoZone

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

Moving together with AutoZone Stock

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Moving against AutoZone Stock

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The ability to find closely correlated positions to AutoZone could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AutoZone 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 AutoZone - 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 AutoZone to buy it.
The correlation of AutoZone 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 AutoZone moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AutoZone 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 AutoZone 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 AutoZone offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AutoZone'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 Autozone Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Autozone Stock:
Check out AutoZone Altman Z Score, AutoZone Correlation, AutoZone Valuation, as well as analyze AutoZone Alpha and Beta and AutoZone Hype Analysis.
To learn how to invest in AutoZone Stock, please use our How to Invest in AutoZone guide.
Note that the AutoZone information on this page should be used as a complementary analysis to other AutoZone'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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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When running AutoZone's price analysis, check to measure AutoZone'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 AutoZone is operating at the current time. Most of AutoZone's value examination focuses on studying past and present price action to predict the probability of AutoZone's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AutoZone's price. Additionally, you may evaluate how the addition of AutoZone to your portfolios can decrease your overall portfolio volatility.
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Is AutoZone'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 AutoZone. If investors know AutoZone 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 AutoZone 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
0.172
Earnings Share
141.71
Revenue Per Share
999.527
Quarterly Revenue Growth
0.046
Return On Assets
0.1423
The market value of AutoZone is measured differently than its book value, which is the value of AutoZone that is recorded on the company's balance sheet. Investors also form their own opinion of AutoZone's value that differs from its market value or its book value, called intrinsic value, which is AutoZone'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 AutoZone's market value can be influenced by many factors that don't directly affect AutoZone'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 AutoZone's value and its price as these two are different measures arrived at by different means. Investors typically determine if AutoZone is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AutoZone'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.