GURUFOCUS.COM » STOCK LIST » Technology » Software » DataMetrex AI Ltd (OTCPK:DTMXF) » Definitions » LT-Debt-to-Total-Asset

DTMXF (DataMetrex AI) LT-Debt-to-Total-Asset : 0.24 (As of Dec. 2024)


View and export this data going back to 2017. Start your Free Trial

What is DataMetrex AI 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. DataMetrex AI's long-term debt to total assests ratio for the quarter that ended in Dec. 2024 was 0.24.

DataMetrex AI's long-term debt to total assets ratio increased from Jun. 2023 (0.11) to Dec. 2024 (0.24). It may suggest that DataMetrex AI is progressively becoming more dependent on debt to grow their business.


DataMetrex AI LT-Debt-to-Total-Asset Historical Data

The historical data trend for DataMetrex AI'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.

DataMetrex AI LT-Debt-to-Total-Asset Chart

DataMetrex AI Annual Data
Trend Dec12 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.01 0.01 - 0.01 -

DataMetrex AI Quarterly Data
Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Jun24 Sep24 Dec24
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 0.11 0.10 0.30 0.26 0.24

DataMetrex AI LT-Debt-to-Total-Asset Calculation

DataMetrex AI's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2021 is calculated as

LT Debt to Total Assets (A: Dec. 2021 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2021 )/Total Assets (A: Dec. 2021 )
=0.094/33.313
=0.00

DataMetrex AI's Long-Term Debt to Total Asset Ratio for the quarter that ended in Dec. 2024 is calculated as

LT Debt to Total Assets (Q: Dec. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Dec. 2024 )/Total Assets (Q: Dec. 2024 )
=2.523/10.363
=0.24

* 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.


DataMetrex AI  (OTCPK:DTMXF) 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.


DataMetrex AI LT-Debt-to-Total-Asset Related Terms

Thank you for viewing the detailed overview of DataMetrex AI's LT-Debt-to-Total-Asset provided by GuruFocus.com. Please click on the following links to see related term pages.


DataMetrex AI Business Description

Traded in Other Exchanges
Address
2300 Yonge Street, Suite 2802, Toronto, ON, CAN, M4P 1E4
DataMetrex AI Ltd is a information technology company. The Company focuses on collecting, analyzing, and presenting structured and unstructured data using machine learning and artificial intelligence. The company is also engaged in blockchain technology for the collection, storage, transfer, analysis, and presentation of data. Its operating segments are AI & technology and Health Security segment. Its geographical segments are Canada and South Korea.