Shopify Net Income
| SHOP Stock | USD 122.00 2.62 2.19% |
As of the 3rd of March, Shopify has the Coefficient Of Variation of (1,085), variance of 13.03, and Risk Adjusted Performance of (0.06). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Shopify, as well as the relationship between them.
Shopify Total Revenue |
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Gross Profit | Profit Margin | Market Capitalization | Enterprise Value Revenue 13.1418 | Revenue |
| Last Reported | Projected for Next Year | ||
| Net Income | 1.2 B | 1.3 B | |
| Net Income From Continuing Ops | 1.2 B | 1.3 B | |
| Net Income Applicable To Common Shares | 2.3 B | 2.4 B | |
| Net Income Per Share | 0.95 | 1.00 | |
| Net Income Per E B T | 0.82 | 1.09 |
Shopify | Net Income | Build AI portfolio with Shopify Stock |
Evaluating Shopify's Net 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 Income Growth Pattern
Below is the plot of the Net Income of Shopify over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Shopify financial statement analysis. It represents the amount of money remaining after all of Shopify operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Shopify's Net 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.
| View | Last Reported 1.23 B | 10 Years Trend |
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Net Income |
| Timeline |
Shopify Net Income Regression Statistics
| Arithmetic Mean | 243,196,412 | |
| Coefficient Of Variation | 532.83 | |
| Mean Deviation | 771,851,287 | |
| Median | (1,232,000) | |
| Standard Deviation | 1,295,829,348 | |
| Sample Variance | 1679173.7T | |
| Range | 6.4B | |
| R-Value | 0.26 | |
| Mean Square Error | 1667944.1T | |
| R-Squared | 0.07 | |
| Significance | 0.31 | |
| Slope | 67,293,944 | |
| Total Sum of Squares | 26866779.2T |
Shopify Net Income History
Other Fundumenentals of Shopify
| Net Income From Continuing Ops | ||
| Net Income Applicable To Common Shares | ||
| Net Income Per Share | ||
| Net Income Per E B T |
Shopify Net Income component correlations
Shopify Net Income Driver Correlations
Understanding the fundamental principles of building solid financial models for Shopify is extremely important. It helps to project a fair market value of Shopify Stock properly, considering its historical fundamentals such as Net Income. Since Shopify's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Shopify's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Shopify's interrelated accounts and indicators.
Click cells to compare fundamentals
Can Internet Services & Infrastructure industry sustain growth momentum? Does Shopify have expansion opportunities? Factors like these will boost the valuation of Shopify. If investors know Shopify will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Shopify demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth (0.42) | Earnings Share 0.94 | Revenue Per Share | Quarterly Revenue Growth 0.306 | Return On Assets |
Investors evaluate Shopify using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Shopify's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Shopify's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Shopify's value and its price as these two are different measures arrived at by different means. Investors typically determine if Shopify is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Shopify's market price signifies the transaction level at which participants voluntarily complete trades.
Shopify 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Shopify's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Shopify.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Shopify on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Shopify or generate 0.0% return on investment in Shopify over 90 days. Shopify is related to or competes with Applovin Corp, Uber Technologies, Salesforce, ServiceNow, Intuit, Arista Networks, and S A P. Shopify Inc., a commerce company, provides a commerce platform and services in Canada, the United States, Europe, the Mi... More
Shopify Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Shopify's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Shopify upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 15.5 | |||
| Value At Risk | (7.07) | |||
| Potential Upside | 5.67 |
Shopify Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shopify's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shopify's standard deviation. In reality, there are many statistical measures that can use Shopify historical prices to predict the future Shopify's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.48) | |||
| Total Risk Alpha | (0.68) | |||
| Treynor Ratio | (0.17) |
Shopify March 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.06) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 2.67 | |||
| Coefficient Of Variation | (1,085) | |||
| Standard Deviation | 3.61 | |||
| Variance | 13.03 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.48) | |||
| Total Risk Alpha | (0.68) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 15.5 | |||
| Value At Risk | (7.07) | |||
| Potential Upside | 5.67 | |||
| Skewness | (0.38) | |||
| Kurtosis | 0.4167 |
Shopify Backtested Returns
Shopify owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1 % return per unit of risk over the last 3 months. Shopify exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Shopify's Variance of 13.03, risk adjusted performance of (0.06), and Coefficient Of Variation of (1,085) to confirm the risk estimate we provide. The entity has a beta of 1.96, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Shopify will likely underperform. At this point, Shopify has a negative expected return of -0.38%. Please make sure to validate Shopify's treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Shopify performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.36 |
Poor reverse predictability
Shopify has poor reverse predictability. Overlapping area represents the amount of predictability between Shopify time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Shopify price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Shopify price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 103.76 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Shopify Accumulated Other Comprehensive Income
Accumulated Other Comprehensive Income |
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Based on the recorded statements, Shopify reported net income of 1.23 B. This is 128.39% higher than that of the IT Services sector and significantly higher than that of the Information Technology industry. The net income for all United States stocks is 115.59% lower than that of the firm.
Shopify Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Shopify's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Shopify could also be used in its relative valuation, which is a method of valuing Shopify by comparing valuation metrics of similar companies.Shopify is currently under evaluation in net income category among its peers.
Shopify ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Shopify's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Shopify's managers, analysts, and investors.Environmental | Governance | Social |
Shopify Institutional Holders
Institutional Holdings refers to the ownership stake in Shopify that is held by large financial organizations, pension funds or endowments. Institutions may hold large blocks of Shopify's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Shopify's value.| Shares | Norges Bank | 2025-12-31 | 16.2 M | Loomis, Sayles & Company Lp | 2025-12-31 | 14.5 M | Bank Of Montreal | 2025-09-30 | 13.6 M | Bmo Capital Markets Corp. | 2025-09-30 | 13.6 M | Amvescap Plc. | 2025-09-30 | 12.8 M | Geode Capital Management, Llc | 2025-09-30 | 11.9 M | Polen Capital | 2025-09-30 | 11.1 M | Bank Of America Corp | 2025-09-30 | 11 M | The Goldman Sachs Group Inc | 2025-09-30 | 10 M | Jpmorgan Chase & Co | 2025-09-30 | 67.9 M | Capital World Investors | 2025-09-30 | 53.6 M |
Shopify Fundamentals
| Return On Equity | 0.0984 | ||||
| Return On Asset | 0.0815 | ||||
| Profit Margin | 0.11 % | ||||
| Operating Margin | 0.20 % | ||||
| Current Valuation | 151.87 B | ||||
| Shares Outstanding | 1.23 B | ||||
| Shares Owned By Insiders | 0.36 % | ||||
| Shares Owned By Institutions | 73.48 % | ||||
| Number Of Shares Shorted | 14.47 M | ||||
| Price To Earning | 282.85 X | ||||
| Price To Book | 11.69 X | ||||
| Price To Sales | 13.63 X | ||||
| Revenue | 11.56 B | ||||
| Gross Profit | 5.55 B | ||||
| EBITDA | 1.5 B | ||||
| Net Income | 1.23 B | ||||
| Cash And Equivalents | 1.5 B | ||||
| Cash Per Share | 3.88 X | ||||
| Total Debt | 358.35 M | ||||
| Debt To Equity | 0.15 % | ||||
| Current Ratio | 6.64 X | ||||
| Book Value Per Share | 10.33 X | ||||
| Cash Flow From Operations | 2.03 B | ||||
| Short Ratio | 0.91 X | ||||
| Earnings Per Share | 0.94 X | ||||
| Price To Earnings To Growth | 9.56 X | ||||
| Target Price | 161.58 | ||||
| Number Of Employees | 7.6 K | ||||
| Beta | 2.82 | ||||
| Market Capitalization | 157.56 B | ||||
| Total Asset | 15.16 B | ||||
| Retained Earnings | 2.85 B | ||||
| Working Capital | 6.9 B | ||||
| Current Asset | 202.47 M | ||||
| Current Liabilities | 37.24 M | ||||
| Net Asset | 15.16 B |
About Shopify Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Shopify's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Shopify using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Shopify based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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 together with Shopify Stock
Moving against Shopify Stock
| 0.8 | DOCN | DigitalOcean Holdings | PairCorr |
| 0.76 | VNET | VNET Group DRC | PairCorr |
| 0.5 | NXT | NEXTDC | PairCorr |
| 0.47 | FSLY | Fastly Class A Sell-off Trend | PairCorr |
| 0.41 | TIG | Team Internet Group | PairCorr |
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.Additional Tools for Shopify Stock Analysis
When running Shopify's price analysis, check to measure Shopify'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 Shopify is operating at the current time. Most of Shopify's value examination focuses on studying past and present price action to predict the probability of Shopify's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shopify's price. Additionally, you may evaluate how the addition of Shopify to your portfolios can decrease your overall portfolio volatility.