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Digimarc (STU:3J0) Gross-Profit-to-Asset % : 27.61% (As of Mar. 2024)


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What is Digimarc 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. Digimarc's annualized Gross Profit for the quarter that ended in Mar. 2024 was €22.86 Mil. Digimarc's average Total Assets over the quarter that ended in Mar. 2024 was €82.80 Mil. Therefore, Digimarc's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 was 27.61%.


Digimarc Gross-Profit-to-Asset % Historical Data

The historical data trend for Digimarc'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.

Digimarc Gross-Profit-to-Asset % Chart

Digimarc Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Gross-Profit-to-Asset %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 25.40 20.09 22.90 17.55 20.40

Digimarc Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 15.72 19.42 22.50 27.22 27.61

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

For the Information Technology Services subindustry, Digimarc'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.


Digimarc's Gross-Profit-to-Asset % Distribution in the Software Industry

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

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



Digimarc Gross-Profit-to-Asset % Calculation

Digimarc'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 )
=18.491/( (107.405+73.866)/ 2 )
=18.491/90.6355
=20.40 %

Digimarc's annualized Gross-Profit-to-Asset % for the quarter that ended in Mar. 2024 is calculated as:

Gross-Profit-to-Asset %=Gross Profit (Q: Mar. 2024 )/( (Total Assets (Q: Dec. 2023 )+Total Assets (Q: Mar. 2024 ))/ count )
=22.86/( (73.866+91.741)/ 2 )
=22.86/82.8035
=27.61 %

* 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 four times the quarterly (Mar. 2024) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.


Digimarc Gross-Profit-to-Asset % Related Terms

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Digimarc (STU:3J0) Business Description

Industry
Traded in Other Exchanges
Address
8500 SW Creekside Place, Beaverton, OR, USA, 97008
Digimarc Corp provides automatic identification solutions to commercial and government customers and license technology and patented inventions to solution providers. Its Digimarc Platform applies a unique identities to virtually all media objects including product packaging, commercial print, audio and video that can be automatically identified by an enabled ecosystem of industrial scanners, smartphones and other interfaces. The company generates revenue through commercial and government applications of its technology. The company derives its revenue primarily from software development services, subscriptions for products and related services, and licensing of patents.

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