Shopify Net Interest Income from 2010 to 2026
| SHOP Stock | CAD 152.41 4.31 2.75% |
Net Interest Income | First Reported 2019-03-31 | Previous Quarter 106 M | Current Value 81 M | Quarterly Volatility 33.8 M |
Check Shopify financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Shopify's main balance sheet or income statement drivers, such as Depreciation And Amortization of 38.3 M, Interest Expense of 1.3 M or Selling General Administrative of 490.2 M, as well as many indicators such as Price To Sales Ratio of 23.32, Dividend Yield of 0.0 or PTB Ratio of 13.17. Shopify financial statements analysis is a perfect complement when working with Shopify Valuation or Volatility modules.
Shopify | Net Interest Income |
Evaluating Shopify's Net Interest Income 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 Shopify's fundamental strength.
Latest Shopify's Net Interest Income Growth Pattern
Below is the plot of the Net Interest Income of Shopify over the last few years. It is the difference between the revenue generated from a bank's interest-bearing assets and the expenses associated with paying its interest-bearing liabilities. Shopify's Net Interest Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Shopify's overall financial position and show how it may be relating to other accounts over time.
| Net Interest Income | 10 Years Trend |
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Net Interest Income |
| Timeline |
Shopify Net Interest Income Regression Statistics
| Arithmetic Mean | 86,657,882 | |
| Geometric Mean | 13,937,995 | |
| Coefficient Of Variation | 157.59 | |
| Mean Deviation | 109,232,761 | |
| Median | 11,863,000 | |
| Standard Deviation | 136,562,975 | |
| Sample Variance | 18649.4T | |
| Range | 370.4M | |
| R-Value | 0.80 | |
| Mean Square Error | 7062.8T | |
| R-Squared | 0.64 | |
| Significance | 0.0001 | |
| Slope | 21,718,400 | |
| Total Sum of Squares | 298391.1T |
Shopify Net Interest Income History
About Shopify Financial Statements
Shopify investors utilize fundamental indicators, such as Net Interest Income, to predict how Shopify 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 Interest Income | 354.2 M | 371.9 M |
Pair Trading with Shopify
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 Shopify 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 Shopify will appreciate offsetting losses from the drop in the long position's value.Moving against Shopify Stock
The ability to find closely correlated positions to Shopify could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Shopify 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 Shopify - 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 Shopify to buy it.
The correlation of Shopify 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 Shopify moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Shopify 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 Shopify 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 Shopify Correlation against competitors. To learn how to invest in Shopify Stock, please use our How to Invest in Shopify guide.You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.