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Open Text (TSX:OTEX) LT-Debt-to-Total-Asset : 0.52 (As of Mar. 2024)


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What is Open Text 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. Open Text's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.52.

Open Text's long-term debt to total assets ratio increased from Mar. 2023 (0.51) to Mar. 2024 (0.52). It may suggest that Open Text is progressively becoming more dependent on debt to grow their business.


Open Text LT-Debt-to-Total-Asset Historical Data

The historical data trend for Open Text'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.

Open Text LT-Debt-to-Total-Asset Chart

Open Text Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.33 0.37 0.40 0.43 0.52

Open Text Quarterly Data
Jun19 Sep19 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 0.51 0.52 0.53 0.53 0.52

Open Text LT-Debt-to-Total-Asset Calculation

Open Text's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2023 is calculated as

LT Debt to Total Assets (A: Jun. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2023 )/Total Assets (A: Jun. 2023 )
=11736.421/22704.711
=0.52

Open Text'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 )
=11547.093/22189.126
=0.52

* 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.


Open Text  (TSX:OTEX) 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.


Open Text LT-Debt-to-Total-Asset Related Terms

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Open Text (TSX:OTEX) Business Description

Traded in Other Exchanges
Address
275 Frank Tompa Drive, Waterloo, ON, CAN, N2L 0A1
Open Text Corp grew out of a technology project involving the Oxford English Dictionary at Canada's University of Waterloo in the mid-1980s. Its software allows clients to archive, aggregate, retrieve, and search unstructured information (such as documents, e-mail, and presentations). The OpenText Information Management platform and services provide secure and scalable solutions for global enterprises, SMBs, governments, and consumers around the world. It also accelerates transformations with intelligent tools and services. The company is based in Ontario, Canada.
Executives
Mark James Barrenechea Director, Senior Officer