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Neurones (XPAR:NRO) LT-Debt-to-Total-Asset : 0.05 (As of Dec. 2023)


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What is Neurones LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Neurones's long-term debt to total assests ratio for the quarter that ended in Dec. 2023 was 0.05.

Neurones's long-term debt to total assets ratio increased from Dec. 2022 (0.04) to Dec. 2023 (0.05). It may suggest that Neurones is progressively becoming more dependent on debt to grow their business.


Neurones LT-Debt-to-Total-Asset Historical Data

The historical data trend for Neurones's LT-Debt-to-Total-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.

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Neurones LT-Debt-to-Total-Asset Chart

Neurones Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.05 0.05 0.05 0.04 0.05

Neurones Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
LT-Debt-to-Total-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 0.05 0.05 0.04 0.05 0.05

Neurones LT-Debt-to-Total-Asset Calculation

Neurones's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2023 is calculated as

LT Debt to Total Assets (A: Dec. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2023 )/Total Assets (A: Dec. 2023 )
=30.926/674.251
=0.05

Neurones's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2023 is calculated as

LT Debt to Total Assets (Q: Dec. 2023 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2023 )/Total Assets (Q: Dec. 2023 )
=30.926/674.251
=0.05

* 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.


Neurones  (XPAR:NRO) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


Neurones LT-Debt-to-Total-Asset Related Terms

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Neurones (XPAR:NRO) Business Description

Industry
Traded in Other Exchanges
Address
Immeuble Le Clemenceau 1 - 205, Avenue Georges Clemenceau, Nanterre Cedex, Paris, FRA, 92024
Neurones SA is a France-based technology sector company. Its core business involves the provision of Information Technology (IT) services catering to the needs of hardware, software, and consulting. Its operations are thereby divided into three segments: Infrastructure Services, Application Services, and Consulting. The Infrastructure segment is the strongest revenue driver through the provision of such services as IT operations, IT service management, systems and network, server, application, and workstation outsourcing. Its second most profitable business is carried out through the Application segment, which entails SAP, Web and decision support, social media, data analysis.