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Weebit Nano (FRA:6RI) LT-Debt-to-Total-Asset : 0.00 (As of Dec. 2023)


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What is Weebit Nano 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. Weebit Nano's long-term debt to total assests ratio for the quarter that ended in Dec. 2023 was 0.00.

Weebit Nano's long-term debt to total assets ratio declined from Dec. 2022 (0.00) to Dec. 2023 (0.00). It may suggest that Weebit Nano is progressively becoming less dependent on debt to grow their business.


Weebit Nano LT-Debt-to-Total-Asset Historical Data

The historical data trend for Weebit Nano'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.

* Premium members only.

Weebit Nano LT-Debt-to-Total-Asset Chart

Weebit Nano Annual Data
Trend Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23 Jun24
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.01 - 0.01 - -

Weebit Nano Semi-Annual Data
Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24
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 0.01 - - - -

Weebit Nano LT-Debt-to-Total-Asset Calculation

Weebit Nano's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2024 is calculated as

LT Debt to Total Assets (A: Jun. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2024 )/Total Assets (A: Jun. 2024 )
=0.12/40.73
=0.00

Weebit Nano'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 )
=0.04/45.867
=

* 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.


Weebit Nano  (FRA:6RI) 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.


Weebit Nano LT-Debt-to-Total-Asset Related Terms

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Weebit Nano Business Description

Traded in Other Exchanges
Address
680 George Street, Level 12, Sydney, NSW, AUS, 2000
Weebit Nano Ltd is a developer and licensor of semiconductor memory technology. The company's Resistive RAM (ReRAM) addresses the growing need for significantly higher performance and lower power memory solutions in a range of new electronic products such as Internet of Things (IoT) devices, smartphones, robotics, autonomous vehicles, 5G communications and artificial intelligence. Weebit ReRAM is designed to enable semiconductor memory elements to be significantly faster, less expensive, more reliable and more energy efficient than those using existing flash memory solutions. As it is based on fab-friendly materials, the technology can be quickly and easily integrated with existing flows and processes, without the need for special equipment or large investments.

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