Gauzy Quick Ratio from 2010 to 2026
| GAUZ Stock | 0.98 0.01 1.03% |
Quick Ratio | First Reported 2010-12-31 | Previous Quarter 0.79 | Current Value 0.67 | Quarterly Volatility 0.29893766 |
Check Gauzy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Gauzy's main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.2 M, Interest Expense of 13.9 M or Selling General Administrative of 13 M, as well as many indicators such as Price To Sales Ratio of 1.96, Dividend Yield of 0.0 or PTB Ratio of 4.19. Gauzy financial statements analysis is a perfect complement when working with Gauzy Valuation or Volatility modules.
Gauzy | Quick Ratio | Build AI portfolio with Gauzy Stock |
The evolution of Quick Ratio for Gauzy Ltd Ordinary provides essential context for understanding the company's financial health trajectory. By analyzing this metric's behavior over time, investors can assess whether recent trends align with long-term patterns, and how Gauzy compares to historical norms and industry peers.
Latest Gauzy's Quick Ratio Growth Pattern
Below is the plot of the Quick Ratio of Gauzy Ltd Ordinary over the last few years. It is a measure of a company's ability to meet its short-term obligations with its most liquid assets. It is calculated as (current assets - inventories) divided by current liabilities. Gauzy's Quick Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Gauzy's overall financial position and show how it may be relating to other accounts over time.
| Quick Ratio | 10 Years Trend |
|
Quick Ratio |
| Timeline |
Gauzy Quick Ratio Regression Statistics
| Arithmetic Mean | 0.92 | |
| Geometric Mean | 0.86 | |
| Coefficient Of Variation | 32.33 | |
| Mean Deviation | 0.26 | |
| Median | 1.12 | |
| Standard Deviation | 0.30 | |
| Sample Variance | 0.09 | |
| Range | 0.9079 | |
| R-Value | (0.70) | |
| Mean Square Error | 0.05 | |
| R-Squared | 0.49 | |
| Significance | 0 | |
| Slope | (0.04) | |
| Total Sum of Squares | 1.43 |
Gauzy Quick Ratio History
About Gauzy Financial Statements
Gauzy investors use historical fundamental indicators, such as Gauzy's Quick Ratio, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Gauzy. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Quick Ratio | 0.79 | 0.67 |
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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.