Shopify Cost Of Revenue vs Total Operating Expenses Analysis

SHOP Stock  USD 113.45  1.84  1.60%   
Shopify financial indicator trend analysis is much more than just breaking down Shopify prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Shopify is a good investment. Please check the relationship between Shopify Cost Of Revenue and its Total Operating Expenses accounts. 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 persons.
To learn how to invest in Shopify Stock, please use our How to Invest in Shopify guide.

Cost Of Revenue vs Total Operating Expenses

Cost Of Revenue vs Total Operating Expenses Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Shopify Cost Of Revenue account and Total Operating Expenses. At this time, the significance of the direction appears to have totally related.
The correlation between Shopify's Cost Of Revenue and Total Operating Expenses is 0.99. Overlapping area represents the amount of variation of Cost Of Revenue that can explain the historical movement of Total Operating Expenses in the same time period over historical financial statements of Shopify, assuming nothing else is changed. The correlation between historical values of Shopify's Cost Of Revenue and Total Operating Expenses is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Cost Of Revenue of Shopify are associated (or correlated) with its Total Operating Expenses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Total Operating Expenses has no effect on the direction of Cost Of Revenue i.e., Shopify's Cost Of Revenue and Total Operating Expenses go up and down completely randomly.

Correlation Coefficient

0.99
Relationship DirectionPositive 
Relationship StrengthVery Strong

Cost Of Revenue

Cost of Revenue is found on Shopify income statement and represents the costs associated with goods and services Shopify provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities.

Total Operating Expenses

The total costs associated with the day-to-day operations of a business, excluding the cost of goods sold but including selling, general, and administrative expenses.
Most indicators from Shopify's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Shopify current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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 persons.
To learn how to invest in Shopify Stock, please use our How to Invest in Shopify guide.At this time, Shopify's Selling General Administrative is relatively stable compared to the past year. As of 12/11/2024, Tax Provision is likely to grow to about 55.6 M, though Enterprise Value Multiple is likely to grow to (11.8 K).
 2021 2022 2023 2024 (projected)
Gross Profit2.5B2.8B3.5B3.7B
Total Revenue4.6B5.6B7.1B7.4B

Shopify fundamental ratios Correlations

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0.690.920.920.870.920.780.930.910.83-0.680.360.830.940.820.970.790.740.910.970.920.520.840.660.910.94
0.660.970.970.870.960.940.910.780.99-0.390.120.990.740.970.810.990.690.970.830.970.840.990.770.990.87
0.671.00.970.920.960.930.990.780.94-0.570.360.940.860.940.920.930.60.970.930.970.680.940.810.980.85
0.570.930.910.780.940.930.890.660.96-0.250.320.930.630.990.730.940.590.850.770.930.80.910.650.940.76
0.670.980.930.930.910.990.890.760.88-0.660.470.880.90.90.950.870.540.940.960.940.570.880.810.940.82
0.60.790.810.910.780.780.660.760.74-0.490.20.750.760.720.810.670.890.780.810.820.490.750.40.810.96
0.620.950.960.830.990.940.960.880.74-0.30.10.980.690.980.760.990.70.930.780.960.890.980.730.980.84
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0.150.330.220.360.120.360.320.470.20.1-0.520.070.450.250.470.05-0.10.160.470.27-0.310.060.130.220.14
0.640.950.930.830.990.940.930.880.750.98-0.330.070.690.960.770.990.660.950.790.930.860.990.770.960.85
0.630.850.850.940.740.860.630.90.760.69-0.880.450.690.670.980.670.530.850.950.830.330.730.750.810.78
0.60.950.940.820.970.940.990.90.720.98-0.280.250.960.670.760.960.650.890.790.960.830.950.680.970.81
0.680.910.880.970.810.920.730.950.810.76-0.810.470.770.980.760.740.570.90.990.870.40.790.750.860.84
0.620.940.940.790.990.930.940.870.670.99-0.30.050.990.670.960.740.620.940.760.930.90.980.790.960.79
0.470.630.730.740.690.60.590.540.890.7-0.16-0.10.660.530.650.570.620.610.580.730.620.660.180.720.87
0.690.970.950.910.970.970.850.940.780.93-0.590.160.950.850.890.90.940.610.90.940.720.960.870.950.85
0.690.920.870.970.830.930.770.960.810.78-0.750.470.790.950.790.990.760.580.90.880.440.80.740.870.86
0.640.981.00.920.970.970.930.940.820.96-0.490.270.930.830.960.870.930.730.940.880.750.940.721.00.88
0.440.710.760.520.840.680.80.570.490.890.1-0.310.860.330.830.40.90.620.720.440.750.850.560.790.63
0.640.950.950.840.990.940.910.880.750.98-0.380.060.990.730.950.790.980.660.960.80.940.850.80.970.85
0.560.80.750.660.770.810.650.810.40.73-0.630.130.770.750.680.750.790.180.870.740.720.560.80.750.51
0.650.980.990.910.990.980.940.940.810.98-0.450.220.960.810.970.860.960.720.950.871.00.790.970.750.88
0.660.860.880.940.870.850.760.820.960.84-0.450.140.850.780.810.840.790.870.850.860.880.630.850.510.88
Click cells to compare fundamentals

Shopify Account Relationship Matchups

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

  0.86DJCO Daily Journal CorpPairCorr
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  0.83AZ A2Z Smart TechnologiesPairCorr
  0.86BL BlacklinePairCorr

Moving against Shopify Stock

  0.64VERB VERB TECHNOLOGY PANY Downward RallyPairCorr
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.
Pair CorrelationCorrelation Matching

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.