Shopify Stock Market Value
| SHOP Stock | USD 112.70 2.04 1.84% |
| Symbol | Shopify |
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 0.95 | 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.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Shopify on November 19, 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 | (0.15) | |||
| Maximum Drawdown | 15.5 | |||
| Value At Risk | (6.78) | |||
| Potential Upside | 5.33 |
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 | (0.1) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (0.73) | |||
| Treynor Ratio | (0.26) |
Shopify February 17, 2026 Technical Indicators
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| Math Transform | ||
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| Price Transform | ||
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| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 2.58 | |||
| Coefficient Of Variation | (762.97) | |||
| Standard Deviation | 3.49 | |||
| Variance | 12.21 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.57) | |||
| Total Risk Alpha | (0.73) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 15.5 | |||
| Value At Risk | (6.78) | |||
| Potential Upside | 5.33 | |||
| Skewness | (0.41) | |||
| Kurtosis | 0.4769 |
Shopify Backtested Returns
Shopify owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the firm had a -0.11 % 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 Risk Adjusted Performance of (0.1), coefficient of variation of (762.97), and Variance of 12.21 to confirm the risk estimate we provide. The entity has a beta of 1.78, 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 -0.37%. 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 | -0.75 |
Almost perfect reverse predictability
Shopify has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Shopify time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th of February 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 -0.75 indicates that around 75.0% of current Shopify price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 411.85 |
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
| 0.83 | VRRM | Verra Mobility Corp Sell-off Trend | PairCorr |
Moving against Shopify Stock
| 0.67 | AKAM | Akamai Technologies Earnings Call This Week | PairCorr |
| 0.66 | DOCN | DigitalOcean Holdings Earnings Call This Week | PairCorr |
| 0.63 | VNET | VNET Group DRC Tech Boost | PairCorr |
| 0.37 | 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.