Coursera Total Assets from 2010 to 2026

COUR Stock  USD 5.92  0.13  2.25%   
Coursera Total Assets yearly trend continues to be relatively stable with very little volatility. Total Assets are likely to drop to about 850.3 M. Total Assets is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. View All Fundamentals
 
Total Assets  
First Reported
2018-12-31
Previous Quarter
979.9 M
Current Value
1000 M
Quarterly Volatility
372.3 M
 
Covid
 
Interest Hikes
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 1.1 M, Net Interest Income of 44.3 M or Interest Income of 44.3 M, as well as many indicators such as Price To Sales Ratio of 1.51, Dividend Yield of 0.0 or PTB Ratio of 1.8. Coursera financial statements analysis is a perfect complement when working with Coursera Valuation or Volatility modules.
  
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To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.
Evaluating Coursera's Total Assets 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 Coursera's fundamental strength.

Latest Coursera's Total Assets Growth Pattern

Below is the plot of the Total Assets of Coursera over the last few years. Total assets refers to the total amount of Coursera assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Coursera books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. It is the total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets. Coursera's Total Assets 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.
ViewLast Reported 1000 M10 Years Trend
Slightly volatile
   Total Assets   
       Timeline  

Coursera Total Assets Regression Statistics

Arithmetic Mean493,405,858
Geometric Mean396,781,963
Coefficient Of Variation68.87
Mean Deviation311,436,522
Median236,263,000
Standard Deviation339,786,335
Sample Variance115454.8T
Range763.7M
R-Value0.85
Mean Square Error35051.4T
R-Squared0.72
Significance0.000019
Slope56,912,065
Total Sum of Squares1847276.1T

Coursera Total Assets History

2026850.3 M
20251000 M
2024930.3 M
2023920.5 M
2022947.6 M
2021958.9 M
2020417.6 M

Other Fundumenentals of Coursera

Coursera Total Assets component correlations

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0.940.910.92-0.94-0.960.990.97-0.18-0.560.970.920.930.88-0.960.860.720.580.90.62
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-0.91-0.87-0.94-0.960.96-0.96-0.940.250.47-0.91-0.87-0.91-0.850.94-0.81-0.65-0.68-0.91-0.64
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0.060.14-0.02-0.180.310.25-0.17-0.08-0.440.030.130.070.170.13-0.50.14-0.44-0.29-0.42
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0.690.630.680.86-0.81-0.810.810.75-0.5-0.240.750.650.680.59-0.80.50.650.840.73
0.790.860.720.72-0.69-0.650.70.740.14-0.930.710.860.790.79-0.860.50.40.490.37
0.480.420.550.58-0.64-0.680.530.51-0.44-0.090.440.430.480.42-0.60.650.40.810.95
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0.480.420.520.62-0.62-0.640.550.52-0.42-0.060.50.440.480.42-0.580.730.370.950.86
Click cells to compare fundamentals

About Coursera Financial Statements

Coursera shareholders use historical fundamental indicators, such as Total Assets, 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
Total Assets1000 M850.3 M
Intangibles To Total Assets 0.03  0.02 

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 together with Coursera Stock

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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.