Xometry Short Long Term Debt Total from 2010 to 2024

XMTR Stock  USD 32.20  0.20  0.63%   
Xometry Short and Long Term Debt Total yearly trend continues to be relatively stable with very little volatility. Short and Long Term Debt Total is likely to grow to about 314.5 M this year. During the period from 2010 to 2024, Xometry Short and Long Term Debt Total destribution of quarterly values had range of 299.9 M from its regression line and mean deviation of  92,776,181. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
2010-12-31
Previous Quarter
299.5 M
Current Value
314.5 M
Quarterly Volatility
120.1 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Xometry financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Xometry's main balance sheet or income statement drivers, such as Net Interest Income of 7.2 M, Interest Income of 12.2 M or Depreciation And Amortization of 8 M, as well as many indicators such as Price To Sales Ratio of 3.53, Dividend Yield of 0.0018 or PTB Ratio of 4.96. Xometry financial statements analysis is a perfect complement when working with Xometry Valuation or Volatility modules.
  
Check out the analysis of Xometry Correlation against competitors.
To learn how to invest in Xometry Stock, please use our How to Invest in Xometry guide.

Latest Xometry's Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Xometry over the last few years. It is Xometry's Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Xometry's overall financial position and show how it may be relating to other accounts over time.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Xometry Short Long Term Debt Total Regression Statistics

Arithmetic Mean73,504,197
Geometric Mean27,961,015
Coefficient Of Variation163.39
Mean Deviation92,776,181
Median14,586,000
Standard Deviation120,096,949
Sample Variance14423.3T
Range299.9M
R-Value0.70
Mean Square Error7847.4T
R-Squared0.49
Significance0
Slope18,889,667
Total Sum of Squares201925.9T

Xometry Short Long Term Debt Total History

2024314.5 M
2023299.5 M
2022302.3 M
202122.5 M
202017.9 M

About Xometry Financial Statements

Xometry shareholders use historical fundamental indicators, such as Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Although Xometry investors may analyze each financial statement separately, they are all interrelated. The changes in Xometry's assets and liabilities, for example, are also reflected in the revenues and expenses on on Xometry'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
Short and Long Term Debt Total299.5 M314.5 M

Pair Trading with Xometry

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

Moving together with Xometry Stock

  0.93CR Crane CompanyPairCorr
  0.88HI HillenbrandPairCorr
  0.7IR Ingersoll RandPairCorr

Moving against Xometry Stock

  0.73AOS Smith AOPairCorr
  0.56RR Richtech Robotics ClassPairCorr
The ability to find closely correlated positions to Xometry could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xometry 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 Xometry - 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 Xometry to buy it.
The correlation of Xometry 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 Xometry moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xometry 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 Xometry 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 Xometry Stock Analysis

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