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iLearningEngines (iLearningEngines) Cyclically Adjusted PS Ratio : (As of Jun. 02, 2024)


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What is iLearningEngines Cyclically Adjusted PS Ratio?

Note: If the price history is too short, we do not calculate current Cyclically Adjusted PS Ratio for this stock. All the historical data is shown as the company's primary share's data instead.

iLearningEngines does not have a history long enough to calculate Cyclically Adjusted Revenue per Share. Therefore GuruFocus does not calculate Cyclically Adjusted PS Ratio for this company.

Shiller PE for Stocks: The True Measure of Stock Valuation

iLearningEngines Cyclically Adjusted PS Ratio Historical Data

The historical data trend for iLearningEngines's Cyclically Adjusted PS Ratio can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

iLearningEngines Cyclically Adjusted PS Ratio Chart

iLearningEngines Annual Data
Trend Dec20 Dec21 Dec22
Cyclically Adjusted PS Ratio
- - -

iLearningEngines Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23
Cyclically Adjusted PS Ratio - - - - -

Competitive Comparison of iLearningEngines's Cyclically Adjusted PS Ratio

For the Software - Infrastructure subindustry, iLearningEngines's Cyclically Adjusted PS Ratio, along with its competitors' market caps and Cyclically Adjusted PS Ratio data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

iLearningEngines's Cyclically Adjusted PS Ratio Distribution in the Software Industry

For the Software industry and Technology sector, iLearningEngines's Cyclically Adjusted PS Ratio distribution charts can be found below:

* The bar in red indicates where iLearningEngines's Cyclically Adjusted PS Ratio falls into.


iLearningEngines Cyclically Adjusted PS Ratio Calculation

Like the Shiller PE Ratio, the Cyclically Adjusted PS Ratio takes the Revenue per Share from the past 10 years, adjusts it for inflation, and then calculates the average. This average is then used for the P/S calculation. Because it considers this 10-year average, it's often referred to as the CAPS Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted PS Ratio.

iLearningEngines does not have a history long enough to calculate Cyclically Adjusted Revenue per Share. Therefore GuruFocus does not calculate Cyclically Adjusted PS Ratio for this company.

iLearningEngines  (NAS:AILE) Cyclically Adjusted PS Ratio Explanation

Compared with the regular PS Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PS Ratio smoothed out the fluctuations of revenue during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Cyclically Adjusted PS Ratio should give similar results to regular PS Ratio.

iLearningEngines Cyclically Adjusted PS Ratio Related Terms

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iLearningEngines (iLearningEngines) Business Description

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Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
Website
https://www.ilearningengines.com
iLearningEngines Inc is an AI and automation platform that empowers its customers to productize their institutional knowledge by transforming it into actionable intellectual property that enhances outcomes for employees, customers and other stakeholders. Its platform enables enterprises to build intelligent Knowledge Clouds that incorporate large volumes of structured and unstructured information across disparate internal and external systems and to automate organizational processes that leverage these Knowledge Clouds to improve performance. The company combines its offerings with vertically focused capabilities and data models to operationalize AI and automation to effectively and efficiently address critical challenges facing its customers.