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Railtown AI Technologies (FRA:S39) LT-Debt-to-Total-Asset : 0.13 (As of Jun. 2024)


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What is Railtown AI Technologies 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. Railtown AI Technologies's long-term debt to total assests ratio for the quarter that ended in Jun. 2024 was 0.13.

Railtown AI Technologies's long-term debt to total assets ratio declined from Jun. 2023 (0.19) to Jun. 2024 (0.13). It may suggest that Railtown AI Technologies is progressively becoming less dependent on debt to grow their business.


Railtown AI Technologies LT-Debt-to-Total-Asset Historical Data

The historical data trend for Railtown AI Technologies'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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Railtown AI Technologies LT-Debt-to-Total-Asset Chart

Railtown AI Technologies Annual Data
Trend Sep20 Sep21 Sep22 Sep23
LT-Debt-to-Total-Asset
- - 0.15 0.33

Railtown AI Technologies Quarterly Data
Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24
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 0.19 0.33 0.68 0.20 0.13

Railtown AI Technologies LT-Debt-to-Total-Asset Calculation

Railtown AI Technologies'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 )
=0.315/0.969
=

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

LT Debt to Total Assets (Q: Jun. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Jun. 2024 )/Total Assets (Q: Jun. 2024 )
=0.208/1.63
=

* 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.


Railtown AI Technologies  (FRA:S39) 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.


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Railtown AI Technologies Business Description

Traded in Other Exchanges
Address
580 Hornby Street, Suite 490, Burnaby, BC, CAN, V6C 2E7
Railtown AI Technologies Inc is engaged in the business of developing a software-as-a-service artificial intelligence solution that helps software development teams detect, analyze and fix errors quickly in their development projects. Its Platform allows for real-time exception monitoring and alerting which permits developers, team managers and executives to quickly locate, understand and correct errors in their software development projects and their root causes, thereby preventing system and application downtimes. The platform continually learns and provides actionable knowledge for every stakeholder in the company from the developers all the way up to c level management.

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