Matterport Total Current Liabilities from 2010 to 2024

MTTR Stock  USD 4.75  0.03  0.64%   
Matterport Total Current Liabilities yearly trend continues to be relatively stable with very little volatility. Total Current Liabilities is likely to drop to about 36.2 M. Total Current Liabilities is the total amount of liabilities that Matterport is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. View All Fundamentals
 
Total Current Liabilities  
First Reported
2010-12-31
Previous Quarter
44.2 M
Current Value
36.2 M
Quarterly Volatility
12.1 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Matterport financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Matterport's main balance sheet or income statement drivers, such as Depreciation And Amortization of 10.5 M, Interest Expense of 0.0 or Selling General Administrative of 141.2 M, as well as many indicators such as Price To Sales Ratio of 4.87, Dividend Yield of 0.0 or PTB Ratio of 1.45. Matterport financial statements analysis is a perfect complement when working with Matterport Valuation or Volatility modules.
  
Check out the analysis of Matterport Correlation against competitors.
To learn how to invest in Matterport Stock, please use our How to Invest in Matterport guide.

Latest Matterport's Total Current Liabilities Growth Pattern

Below is the plot of the Total Current Liabilities of Matterport over the last few years. Total Current Liabilities is an item on Matterport balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Matterport are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. It is the total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. Matterport's Total Current Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Matterport's overall financial position and show how it may be relating to other accounts over time.
Total Current Liabilities10 Years Trend
Slightly volatile
   Total Current Liabilities   
       Timeline  

Matterport Total Current Liabilities Regression Statistics

Arithmetic Mean22,351,739
Geometric Mean20,024,032
Coefficient Of Variation54.18
Mean Deviation9,902,318
Median14,925,000
Standard Deviation12,110,862
Sample Variance146.7T
Range34.1M
R-Value0.78
Mean Square Error61.1T
R-Squared0.61
Significance0.0006
Slope2,121,023
Total Sum of Squares2053.4T

Matterport Total Current Liabilities History

202436.2 M
202344.2 M
202249 M
202133.3 M
202023.2 M

About Matterport Financial Statements

Matterport shareholders use historical fundamental indicators, such as Total Current Liabilities, to determine how well the company is positioned to perform in the future. Although Matterport investors may analyze each financial statement separately, they are all interrelated. The changes in Matterport's assets and liabilities, for example, are also reflected in the revenues and expenses on on Matterport's 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
Total Current Liabilities44.2 M36.2 M

Pair Trading with Matterport

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 Matterport 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 Matterport will appreciate offsetting losses from the drop in the long position's value.

Moving together with Matterport Stock

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Moving against Matterport Stock

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The ability to find closely correlated positions to Matterport could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Matterport 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 Matterport - 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 Matterport to buy it.
The correlation of Matterport 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 Matterport moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Matterport 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 Matterport 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 Matterport Stock Analysis

When running Matterport's price analysis, check to measure Matterport's 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 Matterport is operating at the current time. Most of Matterport's value examination focuses on studying past and present price action to predict the probability of Matterport's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Matterport's price. Additionally, you may evaluate how the addition of Matterport to your portfolios can decrease your overall portfolio volatility.