Canopy Net Income From Continuing Ops from 2010 to 2026
| WEED Stock | CAD 1.59 0.05 3.05% |
Net Loss | First Reported 2016-12-31 | Previous Quarter -1.6 M | Current Value -62.6 M | Quarterly Volatility 437.2 M |
Check Canopy Growth financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Canopy Growth's main balance sheet or income statement drivers, such as Interest Expense of 0.0, Selling General Administrative of 5.5 M or Total Revenue of 1.1 M, as well as many indicators such as Price To Sales Ratio of 442, Dividend Yield of 0.0 or PTB Ratio of 29.89. Canopy financial statements analysis is a perfect complement when working with Canopy Growth Valuation or Volatility modules.
Canopy | Net Income From Continuing Ops |
Evaluating Canopy Growth's Net Income From Continuing Ops 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 Canopy Growth Corp's fundamental strength.
Latest Canopy Growth's Net Income From Continuing Ops Growth Pattern
Below is the plot of the Net Income From Continuing Ops of Canopy Growth Corp over the last few years. It is Canopy Growth's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Canopy Growth's overall financial position and show how it may be relating to other accounts over time.
| Net Income From Continuing Ops | 10 Years Trend |
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Net Income From Continuing Ops |
| Timeline |
Canopy Net Income From Continuing Ops Regression Statistics
| Arithmetic Mean | (504,567,111) | |
| Coefficient Of Variation | (175.15) | |
| Mean Deviation | 602,259,111 | |
| Median | (16,658,000) | |
| Standard Deviation | 883,745,133 | |
| Sample Variance | 781005.5T | |
| Range | 3.3B | |
| R-Value | (0.35) | |
| Mean Square Error | 732726.1T | |
| R-Squared | 0.12 | |
| Significance | 0.17 | |
| Slope | (60,738,823) | |
| Total Sum of Squares | 12496087.4T |
Canopy Net Income From Continuing Ops History
About Canopy Growth Financial Statements
Canopy Growth investors utilize fundamental indicators, such as Net Income From Continuing Ops, to predict how Canopy 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 | ||
| Net Loss | -8.9 M | -9.4 M |
Pair Trading with Canopy Growth
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 Canopy Growth 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 Canopy Growth will appreciate offsetting losses from the drop in the long position's value.Moving against Canopy Stock
The ability to find closely correlated positions to Canopy Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Canopy Growth 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 Canopy Growth - 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 Canopy Growth Corp to buy it.
The correlation of Canopy Growth 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 Canopy Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Canopy Growth Corp 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 Canopy Growth 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 Canopy Growth Correlation against competitors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.