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High Co (XPAR:HCO) EBITDA Margin % : 13.83% (As of Dec. 2023)


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What is High Co EBITDA Margin %?

EBITDA Margin % is calculated as EBITDA divided by its Revenue. High Co's EBITDA for the six months ended in Dec. 2023 was €9.5 Mil. High Co's Revenue for the six months ended in Dec. 2023 was €69.1 Mil. Therefore, High Co's EBITDA margin for the quarter that ended in Dec. 2023 was 13.83%.


High Co EBITDA Margin % Historical Data

The historical data trend for High Co'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.

High Co EBITDA Margin % Chart

High Co Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
EBITDA Margin %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 14.86 14.90 18.68 13.82 14.71

High Co Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
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 19.56 16.14 11.74 15.51 13.83

Competitive Comparison of High Co's EBITDA Margin %

For the Advertising Agencies subindustry, High Co'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.


High Co's EBITDA Margin % Distribution in the Media - Diversified Industry

For the Media - Diversified industry and Communication Services sector, High Co's EBITDA Margin % distribution charts can be found below:

* The bar in red indicates where High Co's EBITDA Margin % falls into.



High Co EBITDA Margin % Calculation

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

High Co'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 )
=21.401/145.444
=14.71 %

High Co's EBITDA Margin % for the quarter that ended in Dec. 2023 is calculated as

EBITDA Margin %=EBITDA (Q: Dec. 2023 )/Revenue (Q: Dec. 2023 )
=9.549/69.051
=13.83 %

* 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.


High Co  (XPAR:HCO) 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.


High Co EBITDA Margin % Related Terms

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High Co (XPAR:HCO) Business Description

Traded in Other Exchanges
Address
365 Avenue Archimede, Cedex 3, CS 60 346, Aix-en-Provence, FRA, 13799
High Co is a France based company engaged in offering marketing solutions for various brands and stores worldwide. The company provides drive to store solutions to generate traffic and develop a preference for the brand and store; in-store solutions to boost sales at physical points of sale and online, and data analysis and management solutions to enhance understanding of shoppers and target actions with a focus on R.O.I.

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