Alibaba Group Holding Stock Beneish M Score
| BABA Stock | USD 68.88 0.06 0.09% |
Alibaba | Beneish M Score |
At this time, Alibaba Group's M Score is unavailable. The earnings manipulation may begin if Alibaba Group's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Alibaba Group executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Alibaba Group's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-2.78
Beneish M Score - Unavailable
Alibaba Group Beneish M-Score Indicator Trends
The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if Alibaba Group'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.
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
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| Net Receivables | 95 B | 90.4 B |
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| Total Revenue | 1 T | 999 B |
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| Total Assets | 2.1 T | 2 T |
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| Total Current Assets | 842.8 B | 802.7 B |
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| Non Current Assets Total | 1.3 T | 1.2 T |
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| Property Plant Equipment | 212.6 B | 202.4 B |
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| Depreciation And Amortization | 26.6 B | 25.3 B |
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| Selling General Administrative | 50.9 B | 48.5 B |
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| Total Current Liabilities | 465.3 B | 443.2 B |
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| Non Current Liabilities Total | 295.6 B | 281.5 B |
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| Short Term Debt | 9 B | 14.1 B |
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| Long Term Debt | 91 B | 171.5 B |
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| Operating Income | 121.2 B | 115.4 B |
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| Total Cash From Operating Activities | 241.2 B | 229.7 B |
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| Short Term Investments | 400.1 B | 381.1 B |
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| Long Term Investments | 547.1 B | 521.1 B |
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| Gross Profit Margin | 0.72 | 0.8325 |
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Alibaba Group Holding Beneish M-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 detect the potential manipulation of earnings. Understanding the correlation between Alibaba Group's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Alibaba Group in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Alibaba Group's degree of accounting gimmicks and manipulations.
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About Alibaba Group Beneish M Score
M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.
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Alibaba Group Earnings Manipulation Drivers
Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as Alibaba Group. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Net Receivables | 84.2B | 124.7B | 146.0B | 78.6B | 90.4B | 95.0B | |
| Total Revenue | 509.7B | 717.3B | 853.1B | 868.7B | 999.0B | 1.0T | |
| Total Assets | 1.3T | 1.7T | 1.7T | 1.8T | 2.0T | 2.1T | |
| Total Current Assets | 462.9B | 643.4B | 638.5B | 698.0B | 802.7B | 842.8B | |
| Net Debt | (205.1B) | (172.1B) | (48.6B) | (31.7B) | (28.6B) | (30.0B) | |
| Short Term Debt | 5.2B | 13.4B | 8.8B | 12.3B | 14.1B | 9.0B | |
| Long Term Debt | 120.3B | 135.7B | 132.5B | 149.1B | 171.5B | 91.0B | |
| Operating Income | 172.4B | 170.1B | 105.3B | 100.4B | 115.4B | 121.2B | |
| Investments | (60.5B) | (244.2B) | (144.4B) | (135.5B) | (122.0B) | (128.1B) |
Alibaba Group 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, Alibaba Group's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Alibaba Group's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
About Alibaba Group Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Alibaba Group Holding's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alibaba Group using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alibaba Group Holding 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.
Pair Trading with Alibaba Group
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 Alibaba Group 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 Alibaba Group will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Alibaba Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alibaba Group 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 Alibaba Group - 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 Alibaba Group Holding to buy it.
The correlation of Alibaba Group 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 Alibaba Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alibaba Group Holding 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 Alibaba Group 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 Alibaba Group Piotroski F Score and Alibaba Group Altman Z Score analysis. Note that the Alibaba Group Holding information on this page should be used as a complementary analysis to other Alibaba Group'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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for Alibaba Stock analysis
When running Alibaba Group's price analysis, check to measure Alibaba Group'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 Alibaba Group is operating at the current time. Most of Alibaba Group's value examination focuses on studying past and present price action to predict the probability of Alibaba Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alibaba Group's price. Additionally, you may evaluate how the addition of Alibaba Group to your portfolios can decrease your overall portfolio volatility.
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Is Alibaba Group'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 Alibaba Group. If investors know Alibaba 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 Alibaba Group 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 (0.68) | Dividend Share 6.869 | Earnings Share 5.35 | Revenue Per Share 363.638 | Quarterly Revenue Growth 0.051 |
The market value of Alibaba Group Holding is measured differently than its book value, which is the value of Alibaba that is recorded on the company's balance sheet. Investors also form their own opinion of Alibaba Group's value that differs from its market value or its book value, called intrinsic value, which is Alibaba Group'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 Alibaba Group's market value can be influenced by many factors that don't directly affect Alibaba Group'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 Alibaba Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alibaba Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alibaba Group'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.