ILearningEngines, Stock Based Compensation To Revenue from 2010 to 2024

AILEW Stock   0.11  0.02  18.28%   
ILearningEngines, Stock Based Compensation To Revenue yearly trend continues to be fairly stable with very little volatility. Stock Based Compensation To Revenue is likely to outpace its year average in 2024. Stock Based Compensation To Revenue is a metric that compares the total value of stock-based compensation granted by iLearningEngines, to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards. View All Fundamentals
 
Stock Based Compensation To Revenue  
First Reported
2010-12-31
Previous Quarter
0.000206
Current Value
0.000316
Quarterly Volatility
0.00008563
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ILearningEngines, financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ILearningEngines,'s main balance sheet or income statement drivers, such as Depreciation And Amortization of 134.4 K, Interest Expense of 84.9 K or Selling General Administrative of 81.3 M, as well as many indicators such as Price To Sales Ratio of 3.51, Dividend Yield of 0.0 or PTB Ratio of 40.59. ILearningEngines, financial statements analysis is a perfect complement when working with ILearningEngines, Valuation or Volatility modules.
  
Check out the analysis of ILearningEngines, Correlation against competitors.
For more information on how to buy ILearningEngines, Stock please use our How to Invest in ILearningEngines, guide.

Latest ILearningEngines,'s Stock Based Compensation To Revenue Growth Pattern

Below is the plot of the Stock Based Compensation To Revenue of iLearningEngines, over the last few years. It is a metric that compares the total value of stock-based compensation granted by a company to its total revenue, indicating how much of the revenue is used to compensate employees with stock options or awards. ILearningEngines,'s Stock Based Compensation To Revenue historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ILearningEngines,'s overall financial position and show how it may be relating to other accounts over time.
Stock Based Compensation To Revenue10 Years Trend
Slightly volatile
   Stock Based Compensation To Revenue   
       Timeline  

ILearningEngines, Stock Based Compensation To Revenue Regression Statistics

Arithmetic Mean0.0003
Geometric Mean0.0003
Coefficient Of Variation24.58
Mean Deviation0.000068
Median0.0004
Standard Deviation0.000086
Sample Variance0.00000001
Range2.0E-4
R-Value(0.68)
Mean Square Error0
R-Squared0.46
Significance0.01
Slope(0.000013)
Total Sum of Squares0.0000001

ILearningEngines, Stock Based Compensation To Revenue History

2024 3.16E-4
2023 2.06E-4
2021 1.79E-4

About ILearningEngines, Financial Statements

ILearningEngines, investors use historical fundamental indicators, such as ILearningEngines,'s Stock Based Compensation To Revenue, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in ILearningEngines,. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year

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Additional Tools for ILearningEngines, Stock Analysis

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