Meta Platforms Cdr Stock Debt To Equity
| META Stock | 31.87 0.36 1.14% |
Meta Platforms CDR fundamentals help investors to digest information that contributes to Meta Platforms' financial success or failures. It also enables traders to predict the movement of Meta Stock. The fundamental analysis module provides a way to measure Meta Platforms' 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 Meta Platforms stock.
Meta |
Meta Platforms CDR Company Debt To Equity Analysis
Meta Platforms' Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
| Competition |
According to the company disclosure, Meta Platforms CDR has a Debt To Equity of 0.0%. This is 100.0% lower than that of the Interactive Media & Services sector and about the same as Communication Services (which currently averages 0.0) industry. The debt to equity for all Canada stocks is 100.0% higher than that of the company.
Meta Debt To Equity Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Meta Platforms' direct or indirect competition against its Debt To Equity to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Meta Platforms could also be used in its relative valuation, which is a method of valuing Meta Platforms by comparing valuation metrics of similar companies.Meta Platforms is currently under evaluation in debt to equity category among its peers.
Meta Fundamentals
| Return On Equity | 0.36 | ||||
| Return On Asset | 0.17 | ||||
| Profit Margin | 0.36 % | ||||
| Operating Margin | 0.43 % | ||||
| Current Valuation | 2 T | ||||
| Shares Outstanding | 53.65 B | ||||
| Price To Book | 8.59 X | ||||
| Price To Sales | 12.90 X | ||||
| Revenue | 156.23 B | ||||
| Gross Profit | 92.86 B | ||||
| EBITDA | 79.21 B | ||||
| Book Value Per Share | 65.19 X | ||||
| Earnings Per Share | 1.20 X | ||||
| Price To Earnings To Growth | 0.90 X | ||||
| Number Of Employees | 72.4 K | ||||
| Beta | 1.22 | ||||
| Market Capitalization | 2.02 T | ||||
| Annual Yield | 0 % | ||||
| Last Dividend Paid | 1.5 |
About Meta Platforms Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Meta Platforms CDR's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Meta Platforms using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Meta Platforms CDR 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 Meta Platforms
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 Meta Platforms 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 Meta Platforms will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Meta Platforms could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Meta Platforms 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 Meta Platforms - 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 Meta Platforms CDR to buy it.
The correlation of Meta Platforms 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 Meta Platforms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Platforms CDR 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 Meta Platforms 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.Other Information on Investing in Meta Stock
Meta Platforms financial ratios help investors to determine whether Meta Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Meta with respect to the benefits of owning Meta Platforms security.