GURUFOCUS.COM » STOCK LIST » Technology » Software » iLearningEngines Inc (NAS:AILE) » Definitions » Quality Rank

AILE (iLearningEngines) Quality Rank


View and export this data going back to 2024. Start your Free Trial

What is iLearningEngines Quality Rank?

The Quality Rank measures the business quality of a company relative to other companies. It is ranked based on the strength of the balance sheet, as well as the profitability and growth of the business. The ranked companies are split in equal numbers and then ranked from 1 to 10, with 10 being the highest.

The rank of balance sheet (30%)

The rank of balance sheet is done through the ranking of:
  • Interest coverage
  • Zscore
  • Debt to revenue
  • Equity to asset
  • Cash to debt

The rank of Profitability (70%)

The ranking of Profitability is done by ranking:
  • Operating margin mean rank (10-year mean average profit margine)
  • Operating margin growth rank
  • Fscore
  • Predictability rank
  • Revenue growth rank (5 year), when the growth is higher than 25%, set it as 25%
  • Num of year profit (number of years that is profitable within the last 10 years)
  • ROIC median (10-year median of ROIC)

iLearningEngines Quality Rank Related Terms

Thank you for viewing the detailed overview of iLearningEngines's Quality Rank provided by GuruFocus.com. Please click on the following links to see related term pages.


iLearningEngines Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
6701 Democracy Boulevard, Suite 300, Bethesda, MD, USA, 20817
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.