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Substrate Artificial Inteligence (FRA:U8S) FCF Margin % : -30.77% (As of Dec. 2023)


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What is Substrate Artificial Inteligence FCF Margin %?

FCF Margin % is calculated as Free Cash Flow divided by its Revenue. Substrate Artificial Inteligence's Free Cash Flow for the six months ended in Dec. 2023 was €-2.10 Mil. Substrate Artificial Inteligence's Revenue for the six months ended in Dec. 2023 was €6.81 Mil. Therefore, Substrate Artificial Inteligence's FCF Margin % for the quarter that ended in Dec. 2023 was -30.77%.

As of today, Substrate Artificial Inteligence's current FCF Yield % is 0.00%.

The historical rank and industry rank for Substrate Artificial Inteligence's FCF Margin % or its related term are showing as below:

FRA:U8S' s FCF Margin % Range Over the Past 10 Years
Min: -52.87   Med: 0   Max: 0
Current: -52.87


FRA:U8S's FCF Margin % is not ranked
in the Software industry.
Industry Median: 2.38 vs FRA:U8S: -52.87


Substrate Artificial Inteligence FCF Margin % Historical Data

The historical data trend for Substrate Artificial Inteligence's FCF 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.

Substrate Artificial Inteligence FCF Margin % Chart

Substrate Artificial Inteligence Annual Data
Trend Dec21 Dec22 Dec23
FCF Margin %
-104.63 -86.16 -52.87

Substrate Artificial Inteligence Semi-Annual Data
Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
FCF Margin % Get a 7-Day Free Trial -94.06 -118.86 -64.60 -136.60 -30.77

Competitive Comparison of Substrate Artificial Inteligence's FCF Margin %

For the Software - Infrastructure subindustry, Substrate Artificial Inteligence's FCF Margin %, along with its competitors' market caps and FCF 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 FCF Margin % Distribution in the Software Industry

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

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


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Substrate Artificial Inteligence FCF Margin % Calculation

FCF margin is the ratio of Free Cash Flow divided by net sales or Revenue, usually presented in percent.

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

FCF Margin=Free Cash Flow (A: Dec. 2023 )/Revenue (A: Dec. 2023 )
=-4.552/8.609
=-52.87 %

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

FCF Margin=Free Cash Flow (Q: Dec. 2023 )/Revenue (Q: Dec. 2023 )
=-2.096/6.811
=-30.77 %

* 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 FCF Margin % Related Terms

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Substrate Artificial Inteligence Business Description

Traded in Other Exchanges
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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