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Quantum Blockchain Technologies (LSE:QBT) LT-Debt-to-Total-Asset : 1.38 (As of Jun. 2024)


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What is Quantum Blockchain Technologies 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. Quantum Blockchain Technologies's long-term debt to total assests ratio for the quarter that ended in Jun. 2024 was 1.38.

Quantum Blockchain Technologies's long-term debt to total assets ratio increased from Jun. 2023 (1.31) to Jun. 2024 (1.38). It may suggest that Quantum Blockchain Technologies is progressively becoming more dependent on debt to grow their business.


Quantum Blockchain Technologies LT-Debt-to-Total-Asset Historical Data

The historical data trend for Quantum Blockchain Technologies'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.

Quantum Blockchain Technologies LT-Debt-to-Total-Asset Chart

Quantum Blockchain Technologies 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 0.67 1.31 - 1.34 -

Quantum Blockchain Technologies 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 1.13 1.34 1.31 - 1.38

Quantum Blockchain Technologies LT-Debt-to-Total-Asset Calculation

Quantum Blockchain Technologies'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 )
=0/5.06
=

Quantum Blockchain Technologies's Long-Term Debt to Total Asset Ratio for the quarter that ended in Jun. 2024 is calculated as

LT Debt to Total Assets (Q: Jun. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Jun. 2024 )/Total Assets (Q: Jun. 2024 )
=5.989/4.334
=

* 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.


Quantum Blockchain Technologies  (LSE:QBT) 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.


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Quantum Blockchain Technologies Business Description

Traded in Other Exchanges
Address
1 Chancery Lane, First Floor, London, GBR, WC2A 1LF
Quantum Blockchain Technologies PLC is engaged in blockchain technology that includes cryptocurrency mining and other superior blockchain applications. Its investment program is focused on technology-related investments, with special regard to Quantum computing, Blockchain, Cryptocurrencies, and AI sectors.

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