General Motors Stock Price To Earnings To Growth
| GMCO34 Stock | BRL 83.64 0.35 0.42% |
General Motors fundamentals help investors to digest information that contributes to General Motors' financial success or failures. It also enables traders to predict the movement of General Stock. The fundamental analysis module provides a way to measure General Motors' 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 General Motors stock.
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General Motors Company Price To Earnings To Growth Analysis
General Motors' PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Current General Motors Price To Earnings To Growth | 1.07 X |
Most of General Motors' fundamental indicators, such as Price To Earnings To Growth, 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, General Motors is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
| Competition |
Based on the latest financial disclosure, General Motors has a Price To Earnings To Growth of 1.0702 times. This is 58.2% lower than that of the Consumer Cyclical sector and notably higher than that of the Auto Manufacturers industry. The price to earnings to growth for all Brazil stocks is 78.11% higher than that of the company.
General Price To Earnings To Growth Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses General Motors' direct or indirect competition against its Price To Earnings To Growth to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of General Motors could also be used in its relative valuation, which is a method of valuing General Motors by comparing valuation metrics of similar companies.General Motors is rated # 3 in price to earnings to growth category among its peers.
General Fundamentals
| Return On Equity | 0.14 | |||
| Return On Asset | 0.0295 | |||
| Profit Margin | 0.06 % | |||
| Operating Margin | 0.08 % | |||
| Current Valuation | 724.43 B | |||
| Shares Outstanding | 5.58 B | |||
| Price To Earning | 24.49 X | |||
| Price To Book | 0.83 X | |||
| Price To Sales | 1.93 X | |||
| Revenue | 156.74 B | |||
| Gross Profit | 21.15 B | |||
| EBITDA | 23.87 B | |||
| Net Income | 9.93 B | |||
| Cash And Equivalents | 17.9 B | |||
| Cash Per Share | 12.62 X | |||
| Total Debt | 75.92 B | |||
| Debt To Equity | 243.20 % | |||
| Current Ratio | 0.94 X | |||
| Book Value Per Share | 12.11 X | |||
| Cash Flow From Operations | 16.04 B | |||
| Earnings Per Share | 8.11 X | |||
| Price To Earnings To Growth | 1.07 X | |||
| Number Of Employees | 167 K | |||
| Beta | 1.38 | |||
| Market Capitalization | 305.49 B | |||
| Total Asset | 264.04 B | |||
| Z Score | 2.4 | |||
| Annual Yield | 0.01 % | |||
| Net Asset | 264.04 B | |||
| Last Dividend Paid | 0.18 |
About General Motors Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze General Motors's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of General Motors using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of General Motors 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 General Stock
When determining whether General Motors is a strong investment it is important to analyze General Motors' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact General Motors' future performance. For an informed investment choice regarding General Stock, refer to the following important reports:Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in General Motors. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation. For information on how to trade General Stock refer to our How to Trade General Stock guide.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.