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Kalray (XPAR:ALKAL) Gross-Profit-to-Asset % : 34.69% (As of Dec. 2023)


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What is Kalray Gross-Profit-to-Asset %?

Gross-Profit-to-Asset % is calculated as Gross Profit divided by its average Total Assets over a certain period of time. Kalray's annualized Gross Profit for the quarter that ended in Dec. 2023 was €29.13 Mil. Kalray's average Total Assets over the quarter that ended in Dec. 2023 was €83.98 Mil. Therefore, Kalray's annualized Gross-Profit-to-Asset % for the quarter that ended in Dec. 2023 was 34.69%.


Kalray Gross-Profit-to-Asset % Historical Data

The historical data trend for Kalray's Gross-Profit-to-Asset % 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.

Kalray Gross-Profit-to-Asset % Chart

Kalray Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Gross-Profit-to-Asset %
Get a 7-Day Free Trial Premium Member Only 15.83 18.74 20.39 32.18 35.19

Kalray Semi-Annual Data
Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Gross-Profit-to-Asset % 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 21.77 31.40 33.69 34.41 34.69

Competitive Comparison of Kalray's Gross-Profit-to-Asset %

For the Semiconductors subindustry, Kalray's Gross-Profit-to-Asset %, along with its competitors' market caps and Gross-Profit-to-Asset % 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.


Kalray's Gross-Profit-to-Asset % Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Kalray's Gross-Profit-to-Asset % distribution charts can be found below:

* The bar in red indicates where Kalray's Gross-Profit-to-Asset % falls into.



Kalray Gross-Profit-to-Asset % Calculation

Kalray's annualized Gross-Profit-to-Asset % for the fiscal year that ended in Dec. 2023 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (A: Dec. 2023 )/( (Total Assets (A: Dec. 2022 )+Total Assets (A: Dec. 2023 ))/ count )
=29.661/( (88.045+80.517)/ 2 )
=29.661/84.281
=35.19 %

Kalray's annualized Gross-Profit-to-Asset % for the quarter that ended in Dec. 2023 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (Q: Dec. 2023 )/( (Total Assets (Q: Jun. 2023 )+Total Assets (Q: Dec. 2023 ))/ count )
=29.128/( (87.44+80.517)/ 2 )
=29.128/83.9785
=34.69 %

* 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.

In the calculation of annual Gross-Profit-to-Asset %, the Gross Profit of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Gross Profit data used here is two times the semi-annual (Dec. 2023) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.


Kalray Gross-Profit-to-Asset % Related Terms

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Kalray (XPAR:ALKAL) Business Description

Traded in Other Exchanges
Address
180 Avenue de l’Europe, Montbonnot, Saint Martin, FRA, 38330
Kalray SA is engaged in developing large-scale core processor solutions that offer high performance, low power consumption and real-time processing. Its MPPA processor family, based on its patented supercomputing on a chip many-core technology, delivers differentiated solutions for server acceleration and data center optimization, as well as for critical embedded applications in aerospace, defense and automotive.

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