Gauzy Total Liab vs Net Working Capital Analysis
| GAUZ Stock | 8.12 0.16 2.01% |
Gauzy financial indicator trend analysis is much more than just examining Gauzy Ordinary latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Gauzy Ordinary is a good investment. Please check the relationship between Gauzy Total Liab and its Net Working Capital accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gauzy Ltd Ordinary. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
Total Liab vs Net Working Capital
Total Liab vs Net Working Capital Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Gauzy Ordinary Total Liab account and Net Working Capital. At this time, the significance of the direction appears to have pay attention.
The correlation between Gauzy's Total Liab and Net Working Capital is -1.0. Overlapping area represents the amount of variation of Total Liab that can explain the historical movement of Net Working Capital in the same time period over historical financial statements of Gauzy Ltd Ordinary, assuming nothing else is changed. The correlation between historical values of Gauzy's Total Liab and Net Working Capital is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Liab of Gauzy Ltd Ordinary are associated (or correlated) with its Net Working Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Working Capital has no effect on the direction of Total Liab i.e., Gauzy's Total Liab and Net Working Capital go up and down completely randomly.
Correlation Coefficient | -1.0 |
| Relationship Direction | Negative |
| Relationship Strength | Strong |
Total Liab
The total amount of all liabilities that a company has, including both short-term and long-term liabilities.Net Working Capital
Most indicators from Gauzy's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Gauzy Ordinary current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gauzy Ltd Ordinary. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment. Selling General Administrative is likely to drop to about 10.2 M in 2024. Tax Provision is likely to drop to about 134.9 K in 2024
| 2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 207K | 3.8M | 13.5M | 14.2M | Depreciation And Amortization | 528K | 5.6M | 5.7M | 3.4M |
Gauzy fundamental ratios Correlations
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Gauzy Account Relationship Matchups
High Positive Relationship
High Negative Relationship
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When running Gauzy's price analysis, check to measure Gauzy'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 Gauzy is operating at the current time. Most of Gauzy's value examination focuses on studying past and present price action to predict the probability of Gauzy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gauzy's price. Additionally, you may evaluate how the addition of Gauzy to your portfolios can decrease your overall portfolio volatility.