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SMX (Security Matters) (SMX (Security Matters)) EBIT : $-13.10 Mil (TTM As of Dec. 2023)


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What is SMX (Security Matters) EBIT?

SMX (Security Matters)'s earnings before interest and taxes (EBIT) for the six months ended in Dec. 2023 was $17.42 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2023 was $-13.10 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. SMX (Security Matters)'s annualized ROC % for the quarter that ended in Dec. 2023 was -29.75%. SMX (Security Matters)'s annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was 4,300.00%.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. SMX (Security Matters)'s Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was -135.58%.


SMX (Security Matters) EBIT Historical Data

The historical data trend for SMX (Security Matters)'s EBIT 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) EBIT Chart

SMX (Security Matters) Annual Data
Trend Dec20 Dec21 Dec22 Dec23
EBIT
-4.49 -4.84 -5.06 -13.10

SMX (Security Matters) Semi-Annual Data
Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
EBIT Get a 7-Day Free Trial -2.46 -2.41 -2.65 -30.51 17.42

Competitive Comparison of SMX (Security Matters)'s EBIT

For the Specialty Business Services subindustry, SMX (Security Matters)'s EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT 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 EV-to-EBIT Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, SMX (Security Matters)'s EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where SMX (Security Matters)'s EV-to-EBIT falls into.



SMX (Security Matters) EBIT Calculation

EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.

EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the semi-annually data reported by the company within the most recent 12 months, which was $-13.10 Mil.

* 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.


SMX (Security Matters)  (NAS:SMX) EBIT Explanation

1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.

SMX (Security Matters)'s annualized ROC % for the quarter that ended in Dec. 2023 is calculated as:

ROC % (Q: Dec. 2023 )
=NOPAT/Average Invested Capital
=Operating Income * ( 1 - Tax Rate % )/( (Invested Capital (Q: Jun. 2023 ) + Invested Capital (Q: Dec. 2023 ))/ count )
=-10.376 * ( 1 - 0% )/( (13.493 + 56.261)/ 2 )
=-10.376/34.877
=-29.75 %

where

Note: The Operating Income data used here is two times the semi-annual (Dec. 2023) data.

2. Joel Greenblatt's definition of Return on Capital:

SMX (Security Matters)'s annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 is calculated as:

ROC (Joel Greenblatt) %(Q: Dec. 2023 )
=EBIT/Average of (Net fixed Assets + Net Working Capital)
=EBIT/Average of (Property, Plant and Equipment+Net Working Capital)
     Q: Jun. 2023  Q: Dec. 2023
=EBIT/( ( (Property, Plant and Equipment + Net Working Capital) + (Property, Plant and Equipment + Net Working Capital) )/ count )
=34.83/( ( (0.82 + max(-13.602, 0)) + (0.8 + max(-14.612, 0)) )/ 2 )
=34.83/( ( 0.82 + 0.8 )/ 2 )
=34.83/0.81
=4,300.00 %

where Working Capital is:

Working Capital(Q: Jun. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0 + 0 + 0) - (9.696 + 3.05 + 0.856)
=-13.602

Working Capital(Q: Dec. 2023 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0 + 0 + 0.229) - (12.119 + 0.853 + 1.869)
=-14.612

When net working capital is negative, 0 is used.

Note: The EBIT data used here is two times the semi-annual (Dec. 2023) EBIT data.

3. It is also linked to Joel Greenblatt's definition of Earnings Yield:

SMX (Security Matters)'s Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %=EBIT (TTM)/Enterprise Value (Q: Dec. 2023 )
=-13.098/9.661
=-135.58 %

* 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.


SMX (Security Matters) EBIT Related Terms

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SMX (Security Matters) (SMX (Security Matters)) Business Description

Traded in Other Exchanges
N/A
Address
Sussex Road, Mespil Business Centre, Mespil House, Dublin, IRL, D04 T4A6
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.