Coursera Operating Income from 2010 to 2024

COUR Stock  USD 7.77  0.13  1.65%   
Coursera Operating Income yearly trend continues to be relatively stable with very little volatility. Operating Income is likely to drop to about -152.9 M. Operating Income is earnings before interest and taxes (EBIT), representing the amount of profit Coursera generates from its operations. View All Fundamentals
 
Operating Income  
First Reported
2018-12-31
Previous Quarter
-31.2 M
Current Value
-21.8 M
Quarterly Volatility
13 M
 
Covid
Check Coursera financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Coursera's main balance sheet or income statement drivers, such as Tax Provision of 3.2 M, Net Interest Income of 32.3 M or Interest Income of 32.3 M, as well as many indicators such as Price To Sales Ratio of 4.37, Dividend Yield of 0.0 or PTB Ratio of 4.98. Coursera financial statements analysis is a perfect complement when working with Coursera Valuation or Volatility modules.
  
Check out the analysis of Coursera Correlation against competitors.
To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.

Latest Coursera's Operating Income Growth Pattern

Below is the plot of the Operating Income of Coursera over the last few years. Operating Income is the amount of profit realized from Coursera operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Coursera is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Coursera's Operating Income historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Coursera's overall financial position and show how it may be relating to other accounts over time.
Operating Income10 Years Trend
Slightly volatile
   Operating Income   
       Timeline  

Coursera Operating Income Regression Statistics

Arithmetic Mean(77,285,920)
Coefficient Of Variation(61.14)
Mean Deviation39,949,616
Median(48,394,000)
Standard Deviation47,252,227
Sample Variance2232.8T
Range118.8M
R-Value(0.79)
Mean Square Error897.7T
R-Squared0.63
Significance0.0004
Slope(8,364,331)
Total Sum of Squares31258.8T

Coursera Operating Income History

2024-152.9 M
2023-145.6 M
2022-167.2 M
2021-143.1 M
2020-66.6 M

Other Fundumenentals of Coursera

Coursera Operating Income component correlations

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0.970.930.92-0.97-0.950.670.850.32-0.710.890.930.970.96-0.580.730.720.620.780.66
0.960.950.92-0.89-0.940.720.980.39-0.810.990.950.950.91-0.760.850.810.70.850.72
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-0.89-0.86-0.95-0.940.92-0.83-0.92-0.220.71-0.9-0.86-0.89-0.850.67-0.79-0.68-0.74-0.9-0.79
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-0.81-0.88-0.71-0.810.680.71-0.55-0.79-0.46-0.74-0.88-0.8-0.780.92-0.81-0.98-0.3-0.45-0.35
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-0.66-0.74-0.58-0.760.620.67-0.71-0.8-0.190.92-0.69-0.74-0.64-0.59-0.91-0.92-0.49-0.55-0.52
0.750.790.730.85-0.82-0.790.860.86-0.02-0.810.780.790.740.68-0.910.870.760.740.78
0.810.880.720.81-0.73-0.680.560.780.36-0.980.730.880.80.79-0.920.870.380.460.41
0.550.50.620.7-0.73-0.740.860.74-0.31-0.30.70.50.540.46-0.490.760.380.930.99
0.720.660.780.85-0.8-0.90.870.87-0.02-0.450.850.660.710.64-0.550.740.460.930.94
0.570.520.660.72-0.77-0.790.920.75-0.33-0.350.690.520.550.48-0.520.780.410.990.94
Click cells to compare fundamentals

About Coursera Financial Statements

Coursera shareholders use historical fundamental indicators, such as Operating Income, to determine how well the company is positioned to perform in the future. Although Coursera investors may analyze each financial statement separately, they are all interrelated. The changes in Coursera's assets and liabilities, for example, are also reflected in the revenues and expenses on on Coursera's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Operating Income-145.6 M-152.9 M
Non Operating Income Net Other7.8 M8.1 M

Pair Trading with Coursera

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 Coursera 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 Coursera will appreciate offsetting losses from the drop in the long position's value.

Moving against Coursera Stock

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The ability to find closely correlated positions to Coursera could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Coursera 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 Coursera - 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 Coursera to buy it.
The correlation of Coursera 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 Coursera moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Coursera 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 Coursera 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 Coursera Stock Analysis

When running Coursera's price analysis, check to measure Coursera'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 Coursera is operating at the current time. Most of Coursera's value examination focuses on studying past and present price action to predict the probability of Coursera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coursera's price. Additionally, you may evaluate how the addition of Coursera to your portfolios can decrease your overall portfolio volatility.