BNAI (Brand Engagement Network) Quality Rank

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

What is Brand Engagement Network 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)

Brand Engagement Network Quality Rank Related Terms

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

Brand Engagement Network Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Brand Engagement Network Inc (NAS:BNAI) » Definitions » Quality Rank

Comparable Companies

Traded in Other Exchanges

N/A

Address

145 E. Snow King Avenue, PO Box 1045, Jackson, WY, USA, 83001

Website

https://www.beninc.ai

Brand Engagement Network Inc is an innovative AI platform provider, designed to interface with emerging technologies, including blockchain, the Internet of Things, and cloud computing, that drive digital transformation across various industries and provide businesses with an unparalleled competitive edge. BEN offers a suite of configured and customizable applications, including natural language processing, anomaly detection, encryption, recommendation engines, sentiment analysis, image recognition, personalization, and real-time decision-making.