Shopify Stock Price To Earnings To Growth
| SHOP Stock | CAD 157.67 2.41 1.55% |
Shopify fundamentals help investors to digest information that contributes to Shopify's financial success or failures. It also enables traders to predict the movement of Shopify Stock. The fundamental analysis module provides a way to measure Shopify's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Shopify stock.
Shopify | Price To Earnings To Growth |
Shopify Company Price To Earnings To Growth Analysis
Shopify's PEG Ratio indicates the potential value of an equity instrument and is calculated by dividing Price to Earnings (P/E) ratio into earnings growth rate. Most analysts and investors prefer this measure to a Price to Earnings (P/E) ratio because it incorporates the future growth of a firm. The low PEG ratio usually implies that an equity instrument is undervalued; whereas PEG of 1 may indicate that an equity is reasonably priced under given expectations of future growth.
Current Shopify Price To Earnings To Growth | 1.12 X |
Most of Shopify's fundamental indicators, such as Price To Earnings To Growth, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Shopify is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Shopify Price To Earnings To Growth 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 Price To Earnings To Growth. 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
Generally speaking, PEG ratio is a 'quick and dirty' way to measure how the current price of a firm's stock relates to its earnings and growth rate. The main benefit of using PEG ratio is that investors can compare the relative valuations of companies within different industries without analyzing their P/E ratios.
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Shopify Price Earnings To Growth Ratio
Price Earnings To Growth Ratio |
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Based on the latest financial disclosure, Shopify has a Price To Earnings To Growth of 1.1231 times. This is 33.54% lower than that of the Software sector and significantly higher than that of the Information Technology industry. The price to earnings to growth for all Canada stocks is 77.03% higher than that of the company.
Shopify Price To Earnings To Growth 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 Price To Earnings To Growth 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 price to earnings to growth category among its peers.
Shopify Current Valuation Drivers
We derive many important indicators used in calculating different scores of Shopify from analyzing Shopify's financial statements. These drivers represent accounts that assess Shopify's ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Shopify's important valuation drivers and their relationship over time.
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Market Cap | 44.9B | 135.3B | 171.7B | 44.0B | 99.8B | 52.4B | |
| Enterprise Value | 44.4B | 133.6B | 170.4B | 43.7B | 99.6B | 51.9B |
Shopify Fundamentals
| Return On Equity | 0.15 | ||||
| Return On Asset | 0.0563 | ||||
| Profit Margin | 0.16 % | ||||
| Operating Margin | 0.14 % | ||||
| Current Valuation | 195.38 B | ||||
| Shares Outstanding | 1.21 B | ||||
| Shares Owned By Insiders | 0.18 % | ||||
| Shares Owned By Institutions | 70.58 % | ||||
| Number Of Shares Shorted | 10.96 M | ||||
| Price To Earning | 3.13 X | ||||
| Price To Book | 14.23 X | ||||
| Price To Sales | 24.43 X | ||||
| Revenue | 7.06 B | ||||
| Gross Profit | 2.75 B | ||||
| EBITDA | (88 M) | ||||
| Net Income | 132 M | ||||
| Cash And Equivalents | 1.65 B | ||||
| Cash Per Share | 5.48 X | ||||
| Total Debt | 1.15 B | ||||
| Debt To Equity | 0.14 % | ||||
| Current Ratio | 11.17 X | ||||
| Book Value Per Share | 7.05 X | ||||
| Cash Flow From Operations | 944 M | ||||
| Short Ratio | 4.94 X | ||||
| Earnings Per Share | 1.39 X | ||||
| Price To Earnings To Growth | 1.12 X | ||||
| Target Price | 107.97 | ||||
| Number Of Employees | 8.3 K | ||||
| Beta | 2.37 | ||||
| Market Capitalization | 196.74 B | ||||
| Total Asset | 11.3 B | ||||
| Retained Earnings | (390 M) | ||||
| Working Capital | 5.38 B | ||||
| Current Asset | 2.07 B | ||||
| Current Liabilities | 134.67 M | ||||
| Net Asset | 11.3 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 against Shopify Stock
| 0.68 | DELX | DelphX Capital Markets Earnings Call Tomorrow | 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.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Shopify. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Shopify Stock, please use our How to Invest in Shopify guide.You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.