SMX (SMX (Security Matters)) Net Margin % : 0.00% (As of Jun. 2024)

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What is SMX (Security Matters) Net Margin %?

Net margin is calculated as Net Income divided by its Revenue. SMX (Security Matters)'s Net Income for the six months ended in Jun. 2024 was $-10.69 Mil. SMX (Security Matters)'s Revenue for the six months ended in Jun. 2024 was $0.00 Mil. Therefore, SMX (Security Matters)'s net margin for the quarter that ended in Jun. 2024 was 0.00%.

The historical rank and industry rank for SMX (Security Matters)'s Net Margin % or its related term are showing as below:

SMX's Net Margin % is not ranked ^*
in the Business Services industry.
Industry Median: 3.99
* Ranked among companies with meaningful Net Margin % only.

SMX (Security Matters) Net Margin % Historical Data

The historical data trend for SMX (Security Matters)'s Net Margin % 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.

SMX (Security Matters) Net Margin % Chart

SMX (Security Matters) Annual Data

Trend

Dec20

Dec21

Dec22

Dec23

Net Margin %

-35,176.92

SMX (Security Matters) Semi-Annual Data
	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24
Net Margin %	Get a 7-Day Free Trial			-	-	-	-	-

Competitive Comparison of SMX (Security Matters)'s Net Margin %

For the Specialty Business Services subindustry, SMX (Security Matters)'s Net Margin %, along with its competitors' market caps and Net Margin % 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.

SMX (Security Matters)'s Net Margin % Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, SMX (Security Matters)'s Net Margin % distribution charts can be found below:

* The bar in red indicates where SMX (Security Matters)'s Net Margin % falls into.

SMX (Security Matters) Net Margin % Calculation

Net margin - also known as net profit margin is the ratio of Net Income divided by net sales or Revenue, usually presented in percent.

SMX (Security Matters)'s Net Margin for the fiscal year that ended in Dec. 2023 is calculated as

Net Margin	=	Net Income (A: Dec. 2023 )	/	Revenue (A: Dec. 2023 )
	=	-20.914	/	0
	=	%

SMX (Security Matters)'s Net Margin for the quarter that ended in Jun. 2024 is calculated as

Net Margin	=	Net Income (Q: Jun. 2024 )	/	Revenue (Q: Jun. 2024 )
	=	-10.693	/	0
	=	%

SMX (Security Matters) (NAS:SMX) Net Margin % Explanation

Although Net Income and Earnings-per-Share (EPS) are the most widely used parameter in measuring a company's profitability and valuation, it is the least reliable. The reason is that reported earnings can be manipulated easily by adjusting any numbers such as Depreciation, Depletion and Amotorization and non-recurring items.

But the long term trend of the net margin is a good indicator of the competitiveness and health of the business.

SMX (Security Matters) Net Margin % Related Terms

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SMX (Security Matters) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » SMX (Security Matters) PLC (NAS:SMX) » Definitions » Net Margin %

Comparable Companies

Traded in Other Exchanges

N/A

Address

Sussex Road, Mespil Business Centre, Mespil House, Dublin, IRL, D04 T4A6

Website

https://smx.tech/home

SMX (Security Matters) PLC provides one solution to solve both authentication and track and trace challenges in order to uphold supply chain integrity and provide quality assurance and brand accountability to producers of goods. Its technology works as a track and trace system using a marker, a reader, and an algorithm to identify embedded sub-molecular particles in order to track and trace different components along a production process (or any other marked good along a supply chain) to the end producer.