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Substrate Artificial Inteligence (FRA:U8S) EBITDA Margin % : -79.52% (As of Dec. 2023)


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What is Substrate Artificial Inteligence EBITDA Margin %?

EBITDA Margin % is calculated as EBITDA divided by its Revenue. Substrate Artificial Inteligence's EBITDA for the six months ended in Dec. 2023 was €-5.42 Mil. Substrate Artificial Inteligence's Revenue for the six months ended in Dec. 2023 was €6.81 Mil. Therefore, Substrate Artificial Inteligence's EBITDA margin for the quarter that ended in Dec. 2023 was -79.52%.


Substrate Artificial Inteligence EBITDA Margin % Historical Data

The historical data trend for Substrate Artificial Inteligence'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.

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Substrate Artificial Inteligence EBITDA Margin % Chart

Substrate Artificial Inteligence Annual Data
Trend Dec21 Dec22 Dec23
EBITDA Margin %
-25.50 -483.23 -72.95

Substrate Artificial Inteligence Semi-Annual Data
Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
EBITDA Margin % Get a 7-Day Free Trial -15.83 -1,016.61 -131.59 -48.05 -79.52

Competitive Comparison of Substrate Artificial Inteligence's EBITDA Margin %

For the Software - Infrastructure subindustry, Substrate Artificial Inteligence'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.


Substrate Artificial Inteligence's EBITDA Margin % Distribution in the Software Industry

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

* The bar in red indicates where Substrate Artificial Inteligence's EBITDA Margin % falls into.


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Substrate Artificial Inteligence EBITDA Margin % Calculation

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

Substrate Artificial Inteligence's EBITDA Margin % for the fiscal year that ended in Dec. 2023 is calculated as

EBITDA Margin %=EBITDA (A: Dec. 2023 )/Revenue (A: Dec. 2023 )
=-6.28/8.609
=-72.95 %

Substrate Artificial Inteligence's EBITDA Margin % for the quarter that ended in Dec. 2023 is calculated as

EBITDA Margin %=EBITDA (Q: Dec. 2023 )/Revenue (Q: Dec. 2023 )
=-5.416/6.811
=-79.52 %

* 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.


Substrate Artificial Inteligence  (FRA:U8S) 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.


Substrate Artificial Inteligence EBITDA Margin % Related Terms

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Substrate Artificial Inteligence Business Description

Traded in Other Exchanges
N/A
Address
C/ Maria de Molina, 41, Office 506, Madrid, ESP, 28006
Substrate Artificial Inteligence SA is an Artificial Intelligence company in Spain. Its software is applied in agritech, energy, industry, fintech, human resources, or health sectors. Its technology is easy to implement and allows it to address all the problems faced by companies in the digitization and streamlining of their processes, optimizing decision-making and generating great cost savings.

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