Kaltura Stock Based Compensation from 2010 to 2024

KLTR Stock  USD 2.16  0.01  0.46%   
Kaltura Stock Based Compensation yearly trend continues to be relatively stable with very little volatility. Stock Based Compensation is likely to drop to about 17.2 M. Stock Based Compensation is compensation provided to employees in the form of equity or options to purchase company stock. This type of compensation is used to align the interests of employees and shareholders. View All Fundamentals
 
Stock Based Compensation  
First Reported
2010-12-31
Previous Quarter
30 M
Current Value
17.2 M
Quarterly Volatility
9.4 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Kaltura financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Kaltura's main balance sheet or income statement drivers, such as Tax Provision of 6.4 M, Interest Income of 2.4 M or Depreciation And Amortization of 3.5 M, as well as many indicators such as Price To Sales Ratio of 1.46, Dividend Yield of 0.0 or PTB Ratio of 9.34. Kaltura financial statements analysis is a perfect complement when working with Kaltura Valuation or Volatility modules.
  
Check out the analysis of Kaltura Correlation against competitors.
To learn how to invest in Kaltura Stock, please use our How to Invest in Kaltura guide.

Latest Kaltura's Stock Based Compensation Growth Pattern

Below is the plot of the Stock Based Compensation of Kaltura over the last few years. It is compensation provided to employees in the form of equity or options to purchase company stock. This type of compensation is used to align the interests of employees and shareholders. Kaltura's Stock Based Compensation historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Kaltura's overall financial position and show how it may be relating to other accounts over time.
Stock Based Compensation10 Years Trend
Slightly volatile
   Stock Based Compensation   
       Timeline  

Kaltura Stock Based Compensation Regression Statistics

Arithmetic Mean7,747,448
Geometric Mean4,422,677
Coefficient Of Variation120.70
Mean Deviation7,585,057
Median2,322,000
Standard Deviation9,351,256
Sample Variance87.4T
Range27.7M
R-Value0.76
Mean Square Error40T
R-Squared0.58
Significance0
Slope1,585,611
Total Sum of Squares1224.2T

Kaltura Stock Based Compensation History

202417.2 M
202330 M
202223.6 M
202117.1 M
20205.1 M

Other Fundumenentals of Kaltura

Kaltura Stock Based Compensation component correlations

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0.940.980.77-0.69-0.780.7-0.020.720.670.620.250.80.98-0.630.95-0.940.94-0.61-0.110.940.73-0.450.560.46
0.970.980.88-0.58-0.90.740.070.830.810.720.420.891.0-0.750.95-0.990.91-0.71-0.060.980.78-0.580.70.59
0.910.770.88-0.34-0.970.80.390.970.960.850.750.970.87-0.920.84-0.930.77-0.870.160.930.76-0.610.810.69
-0.65-0.69-0.58-0.340.27-0.45-0.31-0.25-0.320.03-0.07-0.52-0.610.44-0.760.53-0.840.54-0.36-0.55-0.13-0.050.040.04
-0.88-0.78-0.9-0.970.27-0.73-0.23-0.92-0.94-0.82-0.7-0.92-0.880.87-0.810.94-0.720.8-0.04-0.9-0.750.78-0.86-0.76
0.840.70.740.8-0.45-0.730.360.880.640.690.690.780.76-0.760.82-0.780.76-0.730.380.760.48-0.260.330.12
0.27-0.020.070.39-0.31-0.230.360.340.490.030.740.490.08-0.660.28-0.150.28-0.740.890.19-0.150.060.050.06
0.880.720.830.97-0.25-0.920.880.340.870.910.750.910.82-0.850.8-0.890.71-0.790.160.890.76-0.50.720.54
0.840.670.810.96-0.32-0.940.640.490.870.730.780.960.79-0.950.77-0.860.7-0.90.220.860.67-0.680.850.79
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0.540.250.420.75-0.07-0.70.690.740.750.780.520.710.41-0.880.47-0.520.39-0.850.640.490.21-0.470.480.39
0.940.80.890.97-0.52-0.920.780.490.910.960.740.710.88-0.940.9-0.930.85-0.920.260.940.7-0.510.730.63
0.980.981.00.87-0.61-0.880.760.080.820.790.710.410.88-0.740.96-0.990.93-0.71-0.040.980.77-0.550.670.55
-0.83-0.63-0.75-0.920.440.87-0.76-0.66-0.85-0.95-0.6-0.88-0.94-0.74-0.80.81-0.740.99-0.5-0.8-0.460.56-0.64-0.57
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-0.98-0.94-0.99-0.930.530.94-0.78-0.15-0.89-0.86-0.77-0.52-0.93-0.990.81-0.95-0.90.760.0-0.98-0.790.61-0.74-0.62
0.950.940.910.77-0.84-0.720.760.280.710.70.490.390.850.93-0.740.99-0.9-0.770.220.90.56-0.320.410.33
-0.82-0.61-0.71-0.870.540.8-0.73-0.74-0.79-0.9-0.49-0.85-0.92-0.710.99-0.80.76-0.77-0.59-0.76-0.380.46-0.54-0.48
0.14-0.11-0.060.16-0.36-0.040.380.890.160.22-0.220.640.26-0.04-0.50.20.00.22-0.59-0.01-0.460.16-0.29-0.3
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0.720.730.780.76-0.13-0.750.48-0.150.760.670.90.210.70.77-0.460.63-0.790.56-0.38-0.460.83-0.420.820.7
-0.46-0.45-0.58-0.61-0.050.78-0.260.06-0.5-0.68-0.45-0.47-0.51-0.550.56-0.40.61-0.320.460.16-0.5-0.42-0.79-0.8
0.620.560.70.810.04-0.860.330.050.720.850.780.480.730.67-0.640.51-0.740.41-0.54-0.290.730.82-0.790.97
0.490.460.590.690.04-0.760.120.060.540.790.60.390.630.55-0.570.4-0.620.33-0.48-0.30.610.7-0.80.97
Click cells to compare fundamentals

About Kaltura Financial Statements

Kaltura shareholders use historical fundamental indicators, such as Stock Based Compensation, to determine how well the company is positioned to perform in the future. Although Kaltura investors may analyze each financial statement separately, they are all interrelated. The changes in Kaltura's assets and liabilities, for example, are also reflected in the revenues and expenses on on Kaltura'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
Stock Based Compensation30 M17.2 M
Stock Based Compensation To Revenue 0.17  0.18 

Pair Trading with Kaltura

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

Moving together with Kaltura Stock

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

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