Meta Materials Stock Market Value

MMATQ Stock   0.0001  0.00  0.00%   
Meta Materials' market value is the price at which a share of Meta Materials trades on a public exchange. It measures the collective expectations of Meta Materials investors about its performance. Meta Materials is selling at 1.0E-4 as of the 25th of December 2025; that is No Change since the beginning of the trading day. The stock's last reported lowest price was 1.0E-4.
With this module, you can estimate the performance of a buy and hold strategy of Meta Materials and determine expected loss or profit from investing in Meta Materials over a given investment horizon. Check out Meta Materials Correlation, Meta Materials Volatility and Meta Materials Alpha and Beta module to complement your research on Meta Materials.
To learn how to invest in Meta Stock, please use our How to Invest in Meta Materials guide.
Symbol

Meta Materials Price To Book Ratio

Is Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Materials. If investors know Meta will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Meta Materials listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(65.82)
Revenue Per Share
1.539
Quarterly Revenue Growth
1.317
Return On Assets
(0.12)
Return On Equity
(1.98)
The market value of Meta Materials is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Materials' value that differs from its market value or its book value, called intrinsic value, which is Meta Materials' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Meta Materials' market value can be influenced by many factors that don't directly affect Meta Materials' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Meta Materials' value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Materials is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Materials' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Meta Materials 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Meta Materials' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Meta Materials.
0.00
06/28/2025
No Change 0.00  0.0 
In 5 months and 29 days
12/25/2025
0.00
If you would invest  0.00  in Meta Materials on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Meta Materials or generate 0.0% return on investment in Meta Materials over 180 days. Meta Materials is entity of United States More

Meta Materials Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Meta Materials' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Meta Materials upside and downside potential and time the market with a certain degree of confidence.

Meta Materials Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Materials' standard deviation. In reality, there are many statistical measures that can use Meta Materials historical prices to predict the future Meta Materials' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Materials' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Naive
Forecast
LowNextHigh
0.00010.00010.0001
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00010.00010.0001
Details

Meta Materials Backtested Returns

We have found three technical indicators for Meta Materials, which you can use to evaluate the volatility of the firm. The company secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and Meta Materials are completely uncorrelated.

Auto-correlation

    
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No correlation between past and present

Meta Materials has no correlation between past and present. Overlapping area represents the amount of predictability between Meta Materials time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Meta Materials price movement. The serial correlation of 0.0 indicates that just 0.0% of current Meta Materials price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.94
Residual Average0.0
Price Variance0.0

Meta Materials lagged returns against current returns

Autocorrelation, which is Meta Materials stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Meta Materials' stock expected returns. We can calculate the autocorrelation of Meta Materials returns to help us make a trade decision. For example, suppose you find that Meta Materials has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Meta Materials regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Meta Materials stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Meta Materials stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Meta Materials stock over time.
   Current vs Lagged Prices   
       Timeline  

Meta Materials Lagged Returns

When evaluating Meta Materials' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Meta Materials stock have on its future price. Meta Materials autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Meta Materials autocorrelation shows the relationship between Meta Materials stock current value and its past values and can show if there is a momentum factor associated with investing in Meta Materials.
   Regressed Prices   
       Timeline  

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.