Xometry Days Of Inventory On Hand from 2010 to 2024
| XMTR Stock | USD 31.00 0.26 0.83% |
Days Of Inventory On Hand | First Reported 2010-12-31 | Previous Quarter 3.69291979 | Current Value 5.68 | Quarterly Volatility 1.62190583 |
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.
Xometry | Days Of Inventory On Hand |
Latest Xometry's Days Of Inventory On Hand Growth Pattern
Below is the plot of the Days Of Inventory On Hand of Xometry over the last few years. It is Xometry's Days Of Inventory On Hand 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.
| Days Of Inventory On Hand | 10 Years Trend |
|
Days Of Inventory On Hand |
| Timeline |
Xometry Days Of Inventory On Hand Regression Statistics
| Arithmetic Mean | 6.49 | |
| Geometric Mean | 6.22 | |
| Coefficient Of Variation | 24.98 | |
| Mean Deviation | 1.27 | |
| Median | 7.32 | |
| Standard Deviation | 1.62 | |
| Sample Variance | 2.63 | |
| Range | 5.2884 | |
| R-Value | (0.66) | |
| Mean Square Error | 1.59 | |
| R-Squared | 0.44 | |
| Significance | 0.01 | |
| Slope | (0.24) | |
| Total Sum of Squares | 36.83 |
Xometry Days Of Inventory On Hand History
About Xometry Financial Statements
Xometry shareholders use historical fundamental indicators, such as Days Of Inventory On Hand, 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 Reported | Projected for Next Year | ||
| Days Of Inventory On Hand | 3.69 | 5.68 |
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
Moving against Xometry Stock
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.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.