Meta Intangible Assets from 2010 to 2026
| META Stock | 35.19 0.30 0.86% |
Intangible Assets | First Reported 2010-12-31 | Previous Quarter 3.7 B | Current Value 3.9 B | Quarterly Volatility 961.8 M |
Check Meta Platforms financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Meta Platforms' main balance sheet or income statement drivers, such as Tax Provision of 13.1 B, Net Interest Income of 1.5 B or Interest Income of 1.9 B, as well as many indicators such as . Meta financial statements analysis is a perfect complement when working with Meta Platforms Valuation or Volatility modules.
Meta | Intangible Assets |
Analyzing Meta Platforms's Intangible Assets over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Intangible Assets has evolved provides context for assessing Meta Platforms's current valuation and future prospects.
Latest Meta Platforms' Intangible Assets Growth Pattern
Below is the plot of the Intangible Assets of Meta Platforms CDR over the last few years. It is non-physical assets possessed by a company, such as patents, trademarks, and copyrights, which provide long-term value. Meta Platforms' Intangible Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Meta Platforms' overall financial position and show how it may be relating to other accounts over time.
| Intangible Assets | 10 Years Trend |
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Intangible Assets |
| Timeline |
Meta Intangible Assets Regression Statistics
| Arithmetic Mean | 1,231,329,412 | |
| Geometric Mean | 1,055,667,526 | |
| Coefficient Of Variation | 78.11 | |
| Mean Deviation | 600,698,962 | |
| Median | 897,000,000 | |
| Standard Deviation | 961,835,859 | |
| Sample Variance | 925128.2T | |
| Range | 3.1B | |
| R-Value | 0.55 | |
| Mean Square Error | 685173.7T | |
| R-Squared | 0.31 | |
| Significance | 0.02 | |
| Slope | 105,305,882 | |
| Total Sum of Squares | 14802051.5T |
Meta Intangible Assets History
About Meta Platforms Financial Statements
Meta Platforms stakeholders use historical fundamental indicators, such as Meta Platforms' Intangible Assets, to determine how well the company is positioned to perform in the future. Although Meta Platforms investors may analyze each financial statement separately, they are all interrelated. For example, changes in Meta Platforms' assets and liabilities are reflected in the revenues and expenses on Meta Platforms' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Meta Platforms CDR. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Intangible Assets | 3.7 B | 3.9 B |
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.Moving together with Meta Stock
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.