Tucows Operating Cycle from 2010 to 2026
| TC Stock | CAD 25.64 1.29 5.30% |
Operating Cycle | First Reported 2010-12-31 | Previous Quarter 30.42 | Current Value 49.9 | Quarterly Volatility 20.97511408 |
Check Tucows financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Tucows' main balance sheet or income statement drivers, such as Depreciation And Amortization of 55.1 M, Interest Expense of 65.7 M or Selling General Administrative of 44.8 M, as well as many indicators such as Price To Sales Ratio of 0.6, Dividend Yield of 0.18 or Days Sales Outstanding of 35.4. Tucows financial statements analysis is a perfect complement when working with Tucows Valuation or Volatility modules.
Tucows | Operating Cycle |
Evaluating Tucows's Operating 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 Tucows Inc's fundamental strength.
Latest Tucows' Operating Cycle Growth Pattern
Below is the plot of the Operating Cycle of Tucows Inc over the last few years. It is Tucows' Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Tucows' overall financial position and show how it may be relating to other accounts over time.
| Operating Cycle | 10 Years Trend |
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Operating Cycle |
| Timeline |
Tucows Operating Cycle Regression Statistics
| Arithmetic Mean | 30.65 | |
| Geometric Mean | 26.96 | |
| Coefficient Of Variation | 68.44 | |
| Mean Deviation | 12.74 | |
| Median | 23.05 | |
| Standard Deviation | 20.98 | |
| Sample Variance | 439.96 | |
| Range | 86.898 | |
| R-Value | (0.07) | |
| Mean Square Error | 466.91 | |
| R-Squared | 0.01 | |
| Significance | 0.79 | |
| Slope | (0.30) | |
| Total Sum of Squares | 7,039 |
Tucows Operating Cycle History
About Tucows Financial Statements
Tucows investors utilize fundamental indicators, such as Operating Cycle, to predict how Tucows 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 | ||
| Operating Cycle | 30.42 | 49.90 |
Pair Trading with Tucows
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 Tucows 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 Tucows will appreciate offsetting losses from the drop in the long position's value.Moving together with Tucows Stock
Moving against Tucows Stock
The ability to find closely correlated positions to Tucows could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tucows 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 Tucows - 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 Tucows Inc to buy it.
The correlation of Tucows 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 Tucows moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tucows Inc 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 Tucows 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.Check out the analysis of Tucows Correlation against competitors. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.