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Medicalgorithmics (WAR:MDG) Debt-to-Revenue : 0.00 (As of Dec. 2023)


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What is Medicalgorithmics Debt-to-Revenue?

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

Medicalgorithmics's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was zł0.00 Mil. Medicalgorithmics's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was zł0.00 Mil. Medicalgorithmics's annualized Revenue for the quarter that ended in Dec. 2023 was zł50.15 Mil. Medicalgorithmics's annualized Debt-to-Revenue for the quarter that ended in Dec. 2023 was 0.00.


Medicalgorithmics Debt-to-Revenue Historical Data

The historical data trend for Medicalgorithmics'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.

Medicalgorithmics Debt-to-Revenue Chart

Medicalgorithmics Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-Revenue
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.23 0.14 0.20 - -

Medicalgorithmics Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 Premium Member Only Premium Member Only - - - - -

Competitive Comparison of Medicalgorithmics's Debt-to-Revenue

For the Medical Devices subindustry, Medicalgorithmics'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.


Medicalgorithmics's Debt-to-Revenue Distribution in the Medical Devices & Instruments Industry

For the Medical Devices & Instruments industry and Healthcare sector, Medicalgorithmics's Debt-to-Revenue distribution charts can be found below:

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



Medicalgorithmics Debt-to-Revenue Calculation

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

Medicalgorithmics'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
=(0 + 0) / 43.098
=0.00

Medicalgorithmics's annualized Debt-to-Revenue for the quarter 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
=(0 + 0) / 50.148
=0.00

* 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 (Dec. 2023) Revenue data.


Medicalgorithmics Debt-to-Revenue Related Terms

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Medicalgorithmics (WAR:MDG) Business Description

Traded in Other Exchanges
N/A
Address
Ul. Zurawia 22, Warsaw, POL, 00-515
Medicalgorithmics SA is a medical technology company. It is engaged in the development of Digital Signal Processing (DSP) algorithms development and software and hardware electronics design for medical applications.

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