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Elliptic Laboratories ASA (STU:EIP) LT-Debt-to-Total-Asset : 0.04 (As of Mar. 2024)


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What is Elliptic Laboratories ASA 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. Elliptic Laboratories ASA's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.04.

Elliptic Laboratories ASA's long-term debt to total assets ratio increased from Mar. 2023 (0.02) to Mar. 2024 (0.04). It may suggest that Elliptic Laboratories ASA is progressively becoming more dependent on debt to grow their business.


Elliptic Laboratories ASA LT-Debt-to-Total-Asset Historical Data

The historical data trend for Elliptic Laboratories ASA'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.

Elliptic Laboratories ASA LT-Debt-to-Total-Asset Chart

Elliptic Laboratories ASA Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial 0.14 0.08 0.03 0.02 0.05

Elliptic Laboratories ASA Quarterly Data
Dec18 Jun19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 0.02 0.01 0.05 0.05 0.04

Elliptic Laboratories ASA LT-Debt-to-Total-Asset Calculation

Elliptic Laboratories ASA'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 )
=1.554/30.416
=0.05

Elliptic Laboratories ASA's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (Q: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2024 )/Total Assets (Q: Mar. 2024 )
=1.288/30.174
=0.04

* 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.


Elliptic Laboratories ASA  (STU:EIP) 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.


Elliptic Laboratories ASA LT-Debt-to-Total-Asset Related Terms

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Elliptic Laboratories ASA (STU:EIP) Business Description

Traded in Other Exchanges
Address
Akersgata 32, Oslo, NOR, 0180
Elliptic Laboratories ASA is a software-based AI Virtual Smart Sensor Platform. Its AI Virtual Security Sensor is a presence-detection solution used to improve the security of data stored on laptops. The AI Virtual Security Sensor leverages a laptop's existing speaker and microphone to generate and process ultrasound waves to detect presence.

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