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Netex Knowledge Factory (XMAD:NTX) Debt-to-Asset : 0.67 (As of Sep. 2023)


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What is Netex Knowledge Factory Debt-to-Asset?

Netex Knowledge Factory's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2023 was €10.62 Mil. Netex Knowledge Factory's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2023 was €11.44 Mil. Netex Knowledge Factory's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Sep. 2023 was €32.84 Mil. Netex Knowledge Factory's debt to asset for the quarter that ended in Sep. 2023 was 0.67.


Netex Knowledge Factory Debt-to-Asset Historical Data

The historical data trend for Netex Knowledge Factory's Debt-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.

Netex Knowledge Factory Debt-to-Asset Chart

Netex Knowledge Factory Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Sep20 Sep21 Sep22
Debt-to-Asset
Get a 7-Day Free Trial Premium Member Only 0.46 0.49 0.59 0.60 0.66

Netex Knowledge Factory Semi-Annual Data
Dec14 Dec15 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23
Debt-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 0.60 0.45 0.66 0.67 0.67

Competitive Comparison of Netex Knowledge Factory's Debt-to-Asset

For the Software - Application subindustry, Netex Knowledge Factory's Debt-to-Asset, along with its competitors' market caps and Debt-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.


Netex Knowledge Factory's Debt-to-Asset Distribution in the Software Industry

For the Software industry and Technology sector, Netex Knowledge Factory's Debt-to-Asset distribution charts can be found below:

* The bar in red indicates where Netex Knowledge Factory's Debt-to-Asset falls into.



Netex Knowledge Factory Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Netex Knowledge Factory's Debt-to-Asset for the fiscal year that ended in Sep. 2022 is calculated as

Netex Knowledge Factory's Debt-to-Asset for the quarter that ended in Sep. 2023 is calculated as

Debt-to-Asset=Total Debt / Total Assets
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Total Assets
=(10.615 + 11.442) / 32.835
=0.67

* 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.


Netex Knowledge Factory  (XMAD:NTX) Debt-to-Asset Explanation

In the calculation of Debt-to-Asset, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Assets.


Netex Knowledge Factory Debt-to-Asset Related Terms

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Netex Knowledge Factory (XMAD:NTX) Business Description

Traded in Other Exchanges
N/A
Address
Calle Ícaro , No.44, Oleiros, A Coruña, ESP, 15172
Netex Knowledge Factory SA develops applications and service-based-solutions to deliver digital learning in companies and academic institutions. The company's portfolio includes learningCloud, a personalized learning environment that facilitates video, gamification, online/offline mobile learning, micro learning, social learning, interoperability, and real-time conferencing features for the modern workforce in corporations; and smartED, a solution for publishing houses and universities.

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