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Argeo AS (OSL:ARGEO) Debt-to-Revenue : 1.16 (As of Mar. 2024)


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What is Argeo AS Debt-to-Revenue?

Debt-to-Revenue measures a company's ability to pay off its debt.

Argeo AS's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was kr126.0 Mil. Argeo AS's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was kr340.3 Mil. Argeo AS's annualized Revenue for the quarter that ended in Mar. 2024 was kr401.9 Mil. Argeo AS's annualized Debt-to-Revenue for the quarter that ended in Mar. 2024 was 1.16.


Argeo AS Debt-to-Revenue Historical Data

The historical data trend for Argeo AS's Debt-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.

Argeo AS Debt-to-Revenue Chart

Argeo AS Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-Revenue
Get a 7-Day Free Trial 0.32 0.56 0.77 2.72 2.49

Argeo AS Quarterly Data
Dec18 Dec19 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Debt-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 Premium Member Only Premium Member Only 0.87 1.00 0.48 5.07 1.16

Competitive Comparison of Argeo AS's Debt-to-Revenue

For the Oil & Gas Equipment & Services subindustry, Argeo AS's Debt-to-Revenue, along with its competitors' market caps and Debt-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.


Argeo AS's Debt-to-Revenue Distribution in the Oil & Gas Industry

For the Oil & Gas industry and Energy sector, Argeo AS's Debt-to-Revenue distribution charts can be found below:

* The bar in red indicates where Argeo AS's Debt-to-Revenue falls into.



Argeo AS Debt-to-Revenue Calculation

Debt-to-Revenue measures a company's ability to pay off its debt.

Argeo AS's Debt-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(75.375 + 190.438) / 106.813
=2.49

Argeo AS's annualized Debt-to-Revenue for the quarter that ended in Mar. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(125.997 + 340.319) / 401.86
=1.16

* 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 Debt-to-Revenue, the Revenue of the last fiscal year is used. In calculating the annualized quarterly data, the Revenue data used here is four times the quarterly (Mar. 2024) Revenue data.


Argeo AS Debt-to-Revenue Related Terms

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Argeo AS (OSL:ARGEO) Business Description

Traded in Other Exchanges
Address
Nye Vakasvei 14, Hvalstad, Norge, NOR, 1395
Argeo AS offers the ocean surveying and inspection industry by utilizing autonomous surface and underwater robotics solutions. This company is equipped with individual sensors and digital imaging technology, these autonomous underwater vehicles increase efficiency and imaging quality, in addition, to contributing to substantially reducing CO2 emissions from operations. The company's digital models and digital twin solutions are based on geophysical, hydrographic, and geological methods from shallow water to the deepest oceans for market segments in Infrastructure, Offshore Wind, Oil & Gas, and Deep Sea Minerals.

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