ILearningEngines, Revenue Per Share from 2010 to 2024

AILEW Stock   0.06  0.00  0.000002%   
ILearningEngines, Revenue Per Share yearly trend continues to be fairly stable with very little volatility. Revenue Per Share will likely drop to 4.18 in 2024. Revenue Per Share is the amount of revenue generated by iLearningEngines, per share of stock, calculated by dividing total revenue by the average number of shares outstanding. View All Fundamentals
 
Revenue Per Share  
First Reported
2010-12-31
Previous Quarter
4.7716541
Current Value
4.18
Quarterly Volatility
2.23386869
 
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 Revenue Per Share Growth Pattern

Below is the plot of the Revenue Per Share of iLearningEngines, over the last few years. It is the amount of revenue generated by a company per share of stock, calculated by dividing total revenue by the average number of shares outstanding. ILearningEngines,'s Revenue Per Share 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.
ViewLast Reported 010 Years Trend
Slightly volatile
   Revenue Per Share   
       Timeline  

ILearningEngines, Revenue Per Share Regression Statistics

Arithmetic Mean2.64
Geometric Mean2.08
Coefficient Of Variation84.78
Mean Deviation1.74
Median1.45
Standard Deviation2.23
Sample Variance4.99
Range7.1568
R-Value0.67
Mean Square Error2.98
R-Squared0.45
Significance0.01
Slope0.33
Total Sum of Squares69.86

ILearningEngines, Revenue Per Share History

2024 4.18
2023 4.77
2022 8.6
2021 6.06

About ILearningEngines, Financial Statements

ILearningEngines, investors use historical fundamental indicators, such as ILearningEngines,'s Revenue Per Share, 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
Revenue Per Share 4.77  4.18 

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.