Alibaba Group Holding Stock Price To Earning
| BABAN Stock | MXN 1,740 35.74 2.10% |
Alibaba Group Holding fundamentals help investors to digest information that contributes to Alibaba Group's financial success or failures. It also enables traders to predict the movement of Alibaba Stock. The fundamental analysis module provides a way to measure Alibaba Group's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Alibaba Group stock.
Alibaba |
Alibaba Group Holding Company Price To Earning Analysis
Alibaba Group's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Current Alibaba Group Price To Earning | 19.84 X |
Most of Alibaba Group's fundamental indicators, such as Price To Earning, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Alibaba Group Holding is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
| Competition |
Based on the latest financial disclosure, Alibaba Group Holding has a Price To Earning of 19.84 times. This is 37.37% lower than that of the Services sector and 58.65% lower than that of the Specialty Retail, Other industry. The price to earning for all Mexico stocks is 30.92% higher than that of the company.
Alibaba Price To Earning Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Alibaba Group's direct or indirect competition against its Price To Earning to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Alibaba Group could also be used in its relative valuation, which is a method of valuing Alibaba Group by comparing valuation metrics of similar companies.Alibaba Group is rated fourth in price to earning category among its peers.
Alibaba Fundamentals
| Return On Equity | -0.0012 | |||
| Return On Asset | 0.0366 | |||
| Profit Margin | 0.02 % | |||
| Operating Margin | 0.12 % | |||
| Current Valuation | 3.99 T | |||
| Shares Outstanding | 2.68 B | |||
| Shares Owned By Insiders | 0.01 % | |||
| Shares Owned By Institutions | 15.13 % | |||
| Price To Earning | 19.84 X | |||
| Price To Book | 1.79 X | |||
| Price To Sales | 5.48 X | |||
| Revenue | 859.36 B | |||
| Gross Profit | 314.36 B | |||
| EBITDA | 146.09 B | |||
| Net Income | 158.95 B | |||
| Cash And Equivalents | 462.16 B | |||
| Cash Per Share | 170.83 X | |||
| Total Debt | 148.05 B | |||
| Debt To Equity | 0.14 % | |||
| Current Ratio | 1.67 X | |||
| Book Value Per Share | 361.12 X | |||
| Cash Flow From Operations | 209.77 B | |||
| Earnings Per Share | 69.17 X | |||
| Price To Earnings To Growth | 1.21 X | |||
| Number Of Employees | 243.9 K | |||
| Beta | 0.61 | |||
| Market Capitalization | 5.34 T | |||
| Total Asset | 456.4 B | |||
| Retained Earnings | 84.14 B | |||
| Working Capital | 68.89 B | |||
| Current Asset | 136.33 B | |||
| Current Liabilities | 67.43 B | |||
| Z Score | 22.6 |
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.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Alibaba Stock
When determining whether Alibaba Group Holding offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Alibaba Group'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 Alibaba Group Holding Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Alibaba Group Holding Stock:Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Alibaba Group Holding. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.