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Mdf Commerce (STU:6QT) LT-Debt-to-Total-Asset : 0.01 (As of Dec. 2023)


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What is Mdf Commerce 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. Mdf Commerce's long-term debt to total assests ratio for the quarter that ended in Dec. 2023 was 0.01.

Mdf Commerce's long-term debt to total assets ratio declined from Dec. 2022 (0.03) to Dec. 2023 (0.01). It may suggest that Mdf Commerce is progressively becoming less dependent on debt to grow their business.


Mdf Commerce LT-Debt-to-Total-Asset Historical Data

The historical data trend for Mdf Commerce'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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Mdf Commerce LT-Debt-to-Total-Asset Chart

Mdf Commerce Annual Data
Trend Mar14 Mar15 Mar16 Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.15 0.06 0.04 0.12 0.03

Mdf Commerce Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 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 0.03 0.03 0.02 0.03 0.01

Mdf Commerce LT-Debt-to-Total-Asset Calculation

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

LT Debt to Total Assets (A: Mar. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Mar. 2023 )/Total Assets (A: Mar. 2023 )
=6.411/226.62
=0.03

Mdf Commerce'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 )
=2.891/208.343
=0.01

* 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.


Mdf Commerce  (STU:6QT) 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.


Mdf Commerce LT-Debt-to-Total-Asset Related Terms

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Mdf Commerce (STU:6QT) Business Description

Traded in Other Exchanges
Address
1111 St-Charles Street West, East Tower, Suite 255, Longueuil, QC, CAN, J4K 5G4
Mdf Commerce Inc enables the flow of commerce by providing a broad set of SaaS solutions that optimize and accelerate commercial interactions between buyers and sellers. Its platforms and services empower businesses around the world, allowing them to generate billions of dollars in transactions on an annual basis. The company's procurement, e-commerce and e-marketplace platforms are supported by a strong and dedicated team based in Canada, the United States, Denmark, Ukraine, and China.

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