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DTMXF (DataMetrex AI) EBITDA Margin % : 87.24% (As of Dec. 2024)


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What is DataMetrex AI EBITDA Margin %?

EBITDA Margin % is calculated as EBITDA divided by its Revenue. DataMetrex AI's EBITDA for the three months ended in Dec. 2024 was $1.53 Mil. DataMetrex AI's Revenue for the three months ended in Dec. 2024 was $1.75 Mil. Therefore, DataMetrex AI's EBITDA margin for the quarter that ended in Dec. 2024 was 87.24%.


DataMetrex AI EBITDA Margin % Historical Data

The historical data trend for DataMetrex AI's EBITDA 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.

DataMetrex AI EBITDA Margin % Chart

DataMetrex AI Annual Data
Trend Dec12 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21
EBITDA Margin %
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1,498.32 -153.07 -70.38 -29.12 27.09

DataMetrex AI Quarterly Data
Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Jun24 Sep24 Dec24
EBITDA Margin % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -222.88 -98.23 -61.97 2.60 87.24

Competitive Comparison of DataMetrex AI's EBITDA Margin %

For the Information Technology Services subindustry, DataMetrex AI's EBITDA Margin %, along with its competitors' market caps and EBITDA 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.


DataMetrex AI's EBITDA Margin % Distribution in the Software Industry

For the Software industry and Technology sector, DataMetrex AI's EBITDA Margin % distribution charts can be found below:

* The bar in red indicates where DataMetrex AI's EBITDA Margin % falls into.


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DataMetrex AI EBITDA Margin % Calculation

EBITDA margin is the ratio of EBITDA divided by net sales or Revenue, usually presented in percent.

DataMetrex AI's EBITDA Margin % for the fiscal year that ended in Dec. 2021 is calculated as

EBITDA Margin %=EBITDA (A: Dec. 2021 )/Revenue (A: Dec. 2021 )
=10.375/38.304
=27.09 %

DataMetrex AI's EBITDA Margin % for the quarter that ended in Dec. 2024 is calculated as

EBITDA Margin %=EBITDA (Q: Dec. 2024 )/Revenue (Q: Dec. 2024 )
=1.525/1.748
=87.24 %

* 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.


DataMetrex AI  (OTCPK:DTMXF) EBITDA Margin % Explanation

EBITDA Margin % is the ratio of EBITDA divided by net sales or Revenue. It is an performance metric measuring company's operating profitability. EBITDA Margin takes depreciation and amortization, interest expense and tax into account, which makes it easy to compare the relative profitability of companies of different sizes in the same industry.


DataMetrex AI EBITDA Margin % Related Terms

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DataMetrex AI Business Description

Traded in Other Exchanges
Address
2300 Yonge Street, Suite 2802, Toronto, ON, CAN, M4P 1E4
DataMetrex AI Ltd is a information technology company. The Company focuses on collecting, analyzing, and presenting structured and unstructured data using machine learning and artificial intelligence. The company is also engaged in blockchain technology for the collection, storage, transfer, analysis, and presentation of data. Its operating segments are AI & technology and Health Security segment. Its geographical segments are Canada and South Korea.