Meta Long Term Debt from 2010 to 2026
| META Stock | 34.54 0.44 1.26% |
Long Term Debt | First Reported 2010-12-31 | Previous Quarter 58.7 B | Current Value 31.9 B | Quarterly Volatility 13.1 B |
Check Meta CDR financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Meta CDR's main balance sheet or income statement drivers, such as Tax Provision of 8.8 B, Interest Income of 947.1 M or Selling General Administrative of 18.6 B, as well as many indicators such as . Meta financial statements analysis is a perfect complement when working with Meta CDR Valuation or Volatility modules.
Meta | Long Term Debt |
Evaluating Meta CDR's Long Term Debt across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Meta CDR's fundamental strength.
Latest Meta CDR's Long Term Debt Growth Pattern
Below is the plot of the Long Term Debt of Meta CDR over the last few years. Long-term debt is a debt that Meta CDR has held for over one year. Long-term debt appears on Meta CDR balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Meta CDR balance sheet is the sum of the balances of all categories of long-term debt. It is debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years. Meta CDR's Long Term Debt historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Meta CDR's overall financial position and show how it may be relating to other accounts over time.
| Long Term Debt | 10 Years Trend |
|
Long Term Debt |
| Timeline |
Meta Long Term Debt Regression Statistics
| Arithmetic Mean | 15,695,320,588 | |
| Geometric Mean | 13,027,968,865 | |
| Coefficient Of Variation | 83.19 | |
| Mean Deviation | 8,828,255,017 | |
| Median | 9,923,000,000 | |
| Standard Deviation | 13,056,366,377 | |
| Sample Variance | 170468703T | |
| Range | 48.8B | |
| R-Value | 0.64 | |
| Mean Square Error | 107820306T | |
| R-Squared | 0.41 | |
| Significance | 0.01 | |
| Slope | 1,649,565,196 | |
| Total Sum of Squares | 2727499247.4T |
Meta Long Term Debt History
About Meta CDR Financial Statements
Meta CDR investors utilize fundamental indicators, such as Long Term Debt, to predict how Meta Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Long Term Debt | 58.7 B | 31.9 B | |
| Long Term Debt Total | 59.6 B | 32.6 B |
Pair Trading with Meta CDR
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 CDR 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 CDR will appreciate offsetting losses from the drop in the long position's value.Moving together with Meta Stock
Moving against Meta Stock
| 0.56 | ZOMD | Zoomd Technologies | PairCorr |
| 0.55 | NFLX | Netflix Inc CDR | PairCorr |
| 0.39 | MSFT | Microsoft Corp CDR | PairCorr |
| 0.39 | MSFT | Microsoft CDR | PairCorr |
The ability to find closely correlated positions to Meta CDR 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 CDR 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 CDR - 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 CDR to buy it.
The correlation of Meta CDR 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 CDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta 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 CDR 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 CDR 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 CDR security.