Meta Net Income from 2010 to 2026

MMATQ Stock   0.0001  0.00  0.000003%   
Meta Materials Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to grow to about -340.5 M this year. During the period from 2010 to 2026, Meta Materials Net Loss destribution of quarterly values had r-value of (0.78) from its regression line and median of (8,444,967). View All Fundamentals
 
Net Loss  
First Reported
2010-12-31
Previous Quarter
-358.4 M
Current Value
-340.5 M
Quarterly Volatility
157 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Meta Materials financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Meta Materials' main balance sheet or income statement drivers, such as Depreciation And Amortization of 16.3 M, Interest Expense of 726.4 K or Selling General Administrative of 27.5 M, as well as many indicators such as Price To Sales Ratio of 5.22, Dividend Yield of 0.0 or PTB Ratio of 1.64. Meta financial statements analysis is a perfect complement when working with Meta Materials Valuation or Volatility modules.
  
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Latest Meta Materials' Net Income Growth Pattern

Below is the plot of the Net Income of Meta Materials over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Meta Materials financial statement analysis. It represents the amount of money remaining after all of Meta Materials operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Meta Materials' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Meta Materials' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (398.23 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Meta Net Income Regression Statistics

Arithmetic Mean(103,618,814)
Coefficient Of Variation(151.52)
Mean Deviation127,162,843
Median(8,444,967)
Standard Deviation157,008,042
Sample Variance24651.5T
Range389.8M
R-Value(0.78)
Mean Square Error10181.9T
R-Squared0.61
Significance0.0002
Slope(24,339,114)
Total Sum of Squares394424.4T

Meta Net Income History

2026-340.5 M
2025-358.4 M
2023-398.2 M
2022-79.1 M
2021-91 M
2020-11.6 M

Other Fundumenentals of Meta Materials

Meta Materials Net Income component correlations

About Meta Materials Financial Statements

Meta Materials shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Meta Materials investors may analyze each financial statement separately, they are all interrelated. The changes in Meta Materials' assets and liabilities, for example, are also reflected in the revenues and expenses on on Meta Materials' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Loss-358.4 M-340.5 M
Net Loss-358.4 M-340.5 M
Net Loss(79.46)(75.49)
Net Income Per E B T 1.14  1.08 

Pair Trading with Meta Materials

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 Materials 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 Materials will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Meta Materials 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 Materials 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 Materials - 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 Materials to buy it.
The correlation of Meta Materials 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 Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Materials 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 Materials 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.
Pair CorrelationCorrelation Matching

Additional Tools for Meta Stock Analysis

When running Meta Materials' price analysis, check to measure Meta Materials' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Meta Materials is operating at the current time. Most of Meta Materials' value examination focuses on studying past and present price action to predict the probability of Meta Materials' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Meta Materials' price. Additionally, you may evaluate how the addition of Meta Materials to your portfolios can decrease your overall portfolio volatility.