Xometry Net Worth

Xometry Net Worth Analysis

Know Xometry's Top Institutional Investors

Note, although Xometry's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Follow Xometry's market capitalization trends

The company currently falls under 'Mid-Cap' category with a current market capitalization of 2.41 B.

Project Xometry's profitablity

The company has Profit Margin (PM) of (0.1) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.06) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.06.

Earnings View

Profitability View

Liquidity View

Fundamentals View

Competition View

Evaluate Xometry's management efficiency

Xometry has return on total asset (ROA) of (0.0429) % which means that it has lost $0.0429 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (0.2094) %, meaning that it created substantial loss on money invested by shareholders. Xometry's management efficiency ratios could be used to measure how well Xometry manages its routine affairs as well as how well it operates its assets and liabilities. As of 08/28/2025, Return On Tangible Assets is likely to drop to -0.14. In addition to that, Return On Capital Employed is likely to drop to -0.1. At this time, Xometry's Net Tangible Assets are relatively stable compared to the past year. As of 08/28/2025, Other Assets is likely to grow to about 628.4 K, while Non Current Assets Total are likely to drop slightly above 259.1 M.

Xometry Corporate Filings

Xometry time-series forecasting models is one of many Xometry's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Xometry's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Xometry Earnings per Share Projection vs Actual

Xometry Corporate Management

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