Coursera Net Debt vs Total Current Liabilities Analysis

COUR Stock  USD 7.77  0.13  1.65%   
Coursera financial indicator trend analysis is way more than just evaluating Coursera prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Coursera is a good investment. Please check the relationship between Coursera Net Debt and its Total Current Liabilities accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Coursera. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.

Net Debt vs Total Current Liabilities

Net Debt vs Total Current Liabilities Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Coursera Net Debt account and Total Current Liabilities. At this time, the significance of the direction appears to have pay attention.
The correlation between Coursera's Net Debt and Total Current Liabilities is -0.9. Overlapping area represents the amount of variation of Net Debt that can explain the historical movement of Total Current Liabilities in the same time period over historical financial statements of Coursera, assuming nothing else is changed. The correlation between historical values of Coursera's Net Debt and Total Current Liabilities is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Debt of Coursera are associated (or correlated) with its Total Current Liabilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Total Current Liabilities has no effect on the direction of Net Debt i.e., Coursera's Net Debt and Total Current Liabilities go up and down completely randomly.

Correlation Coefficient

-0.9
Relationship DirectionNegative 
Relationship StrengthSignificant

Net Debt

The total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds.

Total Current Liabilities

Total Current Liabilities is an item on Coursera balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Coursera are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. The total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations.
Most indicators from Coursera's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Coursera 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Coursera. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
To learn how to invest in Coursera Stock, please use our How to Invest in Coursera guide.As of 11/26/2024, Tax Provision is likely to drop to about 3.2 M. In addition to that, Selling General Administrative is likely to drop to about 76.8 M
 2021 2022 2023 2024 (projected)
Net Interest Income320K9.1M30.8M32.3M
Tax Provision2.1M4.7M5.6M3.2M

Coursera fundamental ratios Correlations

0.80.960.99-0.950.970.890.96-0.91-0.890.570.940.940.870.291.00.890.30.49-0.920.320.951.0-0.810.940.99
0.80.640.8-0.660.70.680.65-0.52-0.530.00.610.620.50.790.820.56-0.040.87-0.670.790.80.78-0.620.680.8
0.960.640.95-0.950.930.881.0-0.9-0.940.730.920.980.960.130.940.980.50.36-0.930.140.950.97-0.790.990.95
0.990.80.95-0.970.930.940.95-0.87-0.860.560.910.960.830.330.980.90.250.52-0.960.380.960.98-0.880.931.0
-0.95-0.66-0.95-0.97-0.9-0.98-0.960.880.89-0.69-0.88-0.98-0.83-0.18-0.93-0.93-0.33-0.390.99-0.24-0.93-0.940.93-0.91-0.97
0.970.70.930.93-0.90.80.92-0.97-0.950.670.940.890.860.120.970.850.390.32-0.850.130.890.96-0.710.890.93
0.890.680.880.94-0.980.80.89-0.77-0.780.590.780.940.720.280.870.870.210.47-0.990.360.90.87-0.980.840.94
0.960.651.00.95-0.960.920.89-0.89-0.940.720.910.990.950.150.940.980.50.39-0.940.170.950.97-0.810.990.95
-0.91-0.52-0.9-0.870.88-0.97-0.77-0.890.92-0.77-0.96-0.87-0.850.11-0.91-0.82-0.35-0.10.820.06-0.79-0.910.68-0.84-0.87
-0.89-0.53-0.94-0.860.89-0.95-0.78-0.940.92-0.83-0.85-0.91-0.920.03-0.88-0.92-0.64-0.220.850.05-0.89-0.90.71-0.9-0.86
0.570.00.730.56-0.690.670.590.72-0.77-0.830.650.740.77-0.530.540.760.69-0.29-0.66-0.520.560.59-0.550.650.56
0.940.610.920.91-0.880.940.780.91-0.96-0.850.650.890.870.020.930.830.240.21-0.820.080.80.94-0.670.880.91
0.940.620.980.96-0.980.890.940.99-0.87-0.910.740.890.920.130.910.980.450.36-0.970.170.940.95-0.870.960.96
0.870.50.960.83-0.830.860.720.95-0.85-0.920.770.870.920.00.840.960.660.23-0.8-0.030.860.9-0.610.970.83
0.290.790.130.33-0.180.120.280.150.110.03-0.530.020.130.00.310.1-0.270.97-0.230.980.40.28-0.290.220.33
1.00.820.940.98-0.930.970.870.94-0.91-0.880.540.930.910.840.310.860.260.5-0.90.350.940.99-0.790.920.98
0.890.560.980.9-0.930.850.870.98-0.82-0.920.760.830.980.960.10.860.60.35-0.920.10.930.91-0.790.980.9
0.3-0.040.50.25-0.330.390.210.5-0.35-0.640.690.240.450.66-0.270.260.6-0.06-0.33-0.420.450.35-0.160.520.25
0.490.870.360.52-0.390.320.470.39-0.1-0.22-0.290.210.360.230.970.50.35-0.06-0.440.930.620.48-0.460.440.52
-0.92-0.67-0.93-0.960.99-0.85-0.99-0.940.820.85-0.66-0.82-0.97-0.8-0.23-0.9-0.92-0.33-0.44-0.29-0.94-0.910.96-0.89-0.96
0.320.790.140.38-0.240.130.360.170.060.05-0.520.080.17-0.030.980.350.1-0.420.93-0.290.390.3-0.380.210.38
0.950.80.950.96-0.930.890.90.95-0.79-0.890.560.80.940.860.40.940.930.450.62-0.940.390.95-0.840.950.96
1.00.780.970.98-0.940.960.870.97-0.91-0.90.590.940.950.90.280.990.910.350.48-0.910.30.95-0.780.960.98
-0.81-0.62-0.79-0.880.93-0.71-0.98-0.810.680.71-0.55-0.67-0.87-0.61-0.29-0.79-0.79-0.16-0.460.96-0.38-0.84-0.78-0.74-0.88
0.940.680.990.93-0.910.890.840.99-0.84-0.90.650.880.960.970.220.920.980.520.44-0.890.210.950.96-0.740.93
0.990.80.951.0-0.970.930.940.95-0.87-0.860.560.910.960.830.330.980.90.250.52-0.960.380.960.98-0.880.93
Click cells to compare fundamentals

Coursera Account Relationship Matchups

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

  0.67DAO Youdao Inc Upward RallyPairCorr
  0.6JZ Jianzhi EducationPairCorr
  0.6QSG QuantaSing Group Upward RallyPairCorr
  0.48GHC Graham HoldingsPairCorr
  0.47EEIQ Elite Education GroupPairCorr
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.