Goeasy Cash Conversion Cycle from 2010 to 2026
| GSY Stock | CAD 128.34 0.68 0.53% |
Cash Conversion Cycle | First Reported 2010-12-31 | Previous Quarter 791.19 | Current Value 830.75 | Quarterly Volatility 424.04864865 |
Check Goeasy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Goeasy's main balance sheet or income statement drivers, such as Depreciation And Amortization of 49.3 M, Selling General Administrative of 52.8 M or Total Revenue of 1.8 B, as well as many indicators such as Price To Sales Ratio of 0.9, Dividend Yield of 0.0174 or PTB Ratio of 1.39. Goeasy financial statements analysis is a perfect complement when working with Goeasy Valuation or Volatility modules.
Goeasy | Cash Conversion Cycle |
Evaluating Goeasy's Cash Conversion Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into goeasy's fundamental strength.
Latest Goeasy's Cash Conversion Cycle Growth Pattern
Below is the plot of the Cash Conversion Cycle of goeasy over the last few years. It is Goeasy's Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Goeasy's overall financial position and show how it may be relating to other accounts over time.
| Cash Conversion Cycle | 10 Years Trend |
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Cash Conversion Cycle |
| Timeline |
Goeasy Cash Conversion Cycle Regression Statistics
| Arithmetic Mean | 395.98 | |
| Geometric Mean | 249.39 | |
| Coefficient Of Variation | 107.09 | |
| Mean Deviation | 360.05 | |
| Median | 478.26 | |
| Standard Deviation | 424.05 | |
| Sample Variance | 179,817 | |
| Range | 1.5K | |
| R-Value | 0.95 | |
| Mean Square Error | 18,331 | |
| R-Squared | 0.90 | |
| Slope | 79.86 | |
| Total Sum of Squares | 2.9M |
Goeasy Cash Conversion Cycle History
About Goeasy Financial Statements
Goeasy investors utilize fundamental indicators, such as Cash Conversion Cycle, to predict how Goeasy Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Cash Conversion Cycle | 791.19 | 830.75 |
Pair Trading with Goeasy
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 Goeasy 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 Goeasy will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Goeasy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Goeasy 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 Goeasy - 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 goeasy to buy it.
The correlation of Goeasy 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 Goeasy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if goeasy 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 Goeasy 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.Other Information on Investing in Goeasy Stock
Goeasy financial ratios help investors to determine whether Goeasy Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Goeasy with respect to the benefits of owning Goeasy security.