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Fair Isaac (FRA:FRI) LT-Debt-to-Total-Asset : 1.20 (As of Mar. 2024)


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What is Fair Isaac 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. Fair Isaac's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 1.20.

Fair Isaac's long-term debt to total assets ratio declined from Mar. 2023 (1.23) to Mar. 2024 (1.20). It may suggest that Fair Isaac is progressively becoming less dependent on debt to grow their business.

Fair Isaac LT-Debt-to-Total-Asset Historical Data

The historical data trend for Fair Isaac'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.

Fair Isaac LT-Debt-to-Total-Asset Chart

Fair Isaac Annual Data
Trend Sep14 Sep15 Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.42 0.51 0.68 1.29 1.17

Fair Isaac 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 1.23 1.16 1.17 1.14 1.20

Fair Isaac LT-Debt-to-Total-Asset Calculation

Fair Isaac's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Sep. 2023 is calculated as

LT Debt to Total Assets (A: Sep. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Sep. 2023 )/Total Assets (A: Sep. 2023 )
=1719.921/1476.038
=1.17

Fair Isaac'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 )
=1885.273/1566.868
=1.20

* 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.

Fair Isaac  (FRA:FRI) 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.

Fair Isaac LT-Debt-to-Total-Asset Related Terms

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Fair Isaac (FRA:FRI) Business Description

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Address
5 West Mendenhall, Suite 105, Bozeman, MT, USA, 59715
Website
https://www.fico.com
Founded in 1956, Fair Isaac Corporation is a leading applied analytics company. Fair Isaac is primarily known for its FICO credit scores, which is a widely used industry benchmark to determine the creditworthiness of an individual consumer. The firm's credit scores business accounts for most of the firm's profits and consists of business-to-business and business-to-consumer offerings. In addition to scores, Fair Isaac also sells software primarily to financial institutions for areas such as analytics, decision-making, customer workflows, and fraud.