Brand Engagement Network (Brand Engagement Network) Capex-to-Revenue : 15.94 (As of Dec. 2023)

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What is Brand Engagement Network Capex-to-Revenue?

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue.

Brand Engagement Network's Capital Expenditure for the six months ended in Dec. 2023 was $-0.56 Mil. Its Revenue for the six months ended in Dec. 2023 was $0.04 Mil.

Hence, Brand Engagement Network's Capex-to-Revenue for the six months ended in Dec. 2023 was 15.94.

Brand Engagement Network Capex-to-Revenue Historical Data

The historical data trend for Brand Engagement Network's Capex-to-Revenue 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.

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Brand Engagement Network Capex-to-Revenue Chart

Brand Engagement Network Annual Data

Trend

Dec21

Dec22

Dec23

Capex-to-Revenue

25.20

Brand Engagement Network Semi-Annual Data
	Dec21	Jun22	Dec22	Jun23	Dec23
Capex-to-Revenue	-	-	-	-	15.94

Competitive Comparison of Brand Engagement Network's Capex-to-Revenue

For the Software - Infrastructure subindustry, Brand Engagement Network's Capex-to-Revenue, along with its competitors' market caps and Capex-to-Revenue 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.

Brand Engagement Network's Capex-to-Revenue Distribution in the Software Industry

For the Software industry and Technology sector, Brand Engagement Network's Capex-to-Revenue distribution charts can be found below:

* The bar in red indicates where Brand Engagement Network's Capex-to-Revenue falls into.

Brand Engagement Network Capex-to-Revenue Calculation

Brand Engagement Network's Capex-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

Capex-to-Revenue	=	- Capital Expenditure	/	Revenue
	=	- (-0.882)	/	0.035
	=	25.20

Brand Engagement Network's Capex-to-Revenue for the quarter that ended in Dec. 2023 is calculated as

Capex-to-Revenue	=	- Capital Expenditure	/	Revenue
	=	- (-0.558)	/	0.035
	=	15.94

Brand Engagement Network (NAS:BNAI) Capex-to-Revenue Explanation

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue. The ratio shows how aggressively the company reinvests its revenue back into productive assets. However, a high ratio potentially indicates that the company has invested too much in innovation and infrastructure, taking up funds that could be used to boost productivity and increase revenue. Therefore, a high Capex to Revenue Ratio could be a positive or a negative sign depending on how effectively a company converts those investments into future earnings.

Brand Engagement Network Capex-to-Revenue Related Terms

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Brand Engagement Network (Brand Engagement Network) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Brand Engagement Network Inc (NAS:BNAI) » Definitions » Capex-to-Revenue

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.

Brand Engagement Network (Brand Engagement Network) Headlines

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