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Dataproces Group AS (FRA:D9D) Capex-to-Revenue : 0.21 (As of Oct. 2024)


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What is Dataproces Group AS Capex-to-Revenue?

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue.

Dataproces Group AS's Capital Expenditure for the three months ended in Oct. 2024 was €-0.31 Mil. Its Revenue for the three months ended in Oct. 2024 was €1.51 Mil.

Hence, Dataproces Group AS's Capex-to-Revenue for the three months ended in Oct. 2024 was 0.21.


Dataproces Group AS Capex-to-Revenue Historical Data

The historical data trend for Dataproces Group AS's Capex-to-Revenue 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.

Dataproces Group AS Capex-to-Revenue Chart

Dataproces Group AS Annual Data
Trend Apr19 Apr20 Apr21 Apr22 Apr23 Apr24
Capex-to-Revenue
Get a 7-Day Free Trial 0.25 0.55 0.45 0.47 0.24

Dataproces Group AS Quarterly Data
Apr19 Apr20 Apr21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
Capex-to-Revenue 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 0.25 0.17 0.26 0.21 0.21

Competitive Comparison of Dataproces Group AS's Capex-to-Revenue

For the Information Technology Services subindustry, Dataproces Group AS's Capex-to-Revenue, along with its competitors' market caps and Capex-to-Revenue 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.


Dataproces Group AS's Capex-to-Revenue Distribution in the Software Industry

For the Software industry and Technology sector, Dataproces Group AS's Capex-to-Revenue distribution charts can be found below:

* The bar in red indicates where Dataproces Group AS's Capex-to-Revenue falls into.


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Dataproces Group AS Capex-to-Revenue Calculation

Dataproces Group AS's Capex-to-Revenue for the fiscal year that ended in Apr. 2024 is calculated as

Capex-to-Revenue=- Capital Expenditure / Revenue
=- (-1.024) / 4.281
=0.24

Dataproces Group AS's Capex-to-Revenue for the quarter that ended in Oct. 2024 is calculated as

Capex-to-Revenue=- Capital Expenditure / Revenue
=- (-0.31) / 1.507
=0.21

* 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.


Dataproces Group AS  (FRA:D9D) Capex-to-Revenue Explanation

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue. The ratio shows how aggressively the company reinvests its revenue back into productive assets. However, a high ratio potentially indicates that the company has invested too much in innovation and infrastructure, taking up funds that could be used to boost productivity and increase revenue. Therefore, a high Capex to Revenue Ratio could be a positive or a negative sign depending on how effectively a company converts those investments into future earnings.


Dataproces Group AS Capex-to-Revenue Related Terms

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Dataproces Group AS Business Description

Traded in Other Exchanges
Address
Skalhuse 13, Nibe, DNK, 9240
Dataproces Group AS is a software and consulting company that specializes in helping customers optimize workflows and finances. It creates value with data and contributes to society by providing advice and Al-supported software solutions that make it possible to make task-solving with customers more efficient.

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