Railtown AI Technologies (XCNQ:RAIL) Debt-to-Asset : 0.04 (As of Dec. 2024)

View and export this data going back to 2021. Start your Free Trial

What is Railtown AI Technologies Debt-to-Asset?

Railtown AI Technologies's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was C$0.04 Mil. Railtown AI Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was C$0.06 Mil. Railtown AI Technologies's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Dec. 2024 was C$2.89 Mil. Railtown AI Technologies's debt to asset for the quarter that ended in Dec. 2024 was 0.03.

Railtown AI Technologies Debt-to-Asset Historical Data

The historical data trend for Railtown AI Technologies's Debt-to-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.

Railtown AI Technologies Debt-to-Asset Chart

Railtown AI Technologies Annual Data

Trend

Sep20

Sep21

Sep22

Sep23

Sep24

Debt-to-Asset

0.18

0.35

0.05

Railtown AI Technologies Quarterly Data
	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24
Debt-to-Asset	Get a 7-Day Free Trial													0.72	0.22	0.14	0.05	0.04

Competitive Comparison of Railtown AI Technologies's Debt-to-Asset

For the Software - Infrastructure subindustry, Railtown AI Technologies's Debt-to-Asset, along with its competitors' market caps and Debt-to-Asset data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Railtown AI Technologies's Debt-to-Asset Distribution in the Software Industry

For the Software industry and Technology sector, Railtown AI Technologies's Debt-to-Asset distribution charts can be found below:

* The bar in red indicates where Railtown AI Technologies's Debt-to-Asset falls into.

Save Embed

;

Save Embed

;

Railtown AI Technologies Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Railtown AI Technologies's Debt-to-Asset for the fiscal year that ended in Sep. 2024 is calculated as

Debt-to-Asset	=	Total Debt			/	Total Assets
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Total Assets
	=	(0.036	+	0.073)	/	2.187
	=	0.05

Railtown AI Technologies's Debt-to-Asset for the quarter that ended in Dec. 2024 is calculated as

Debt-to-Asset	=	Total Debt			/	Total Assets
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Total Assets
	=	(0.037	+	0.063)	/	2.886
	=	0.03

Railtown AI Technologies (XCNQ:RAIL) Debt-to-Asset Explanation

In the calculation of Debt-to-Asset, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Assets.

Railtown AI Technologies Debt-to-Asset Related Terms

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

Railtown AI Technologies Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Railtown AI Technologies Inc (XCNQ:RAIL) » Definitions » Debt-to-Asset

Comparable Companies

Traded in Other Exchanges

RLAIF:USA S39:Germany

Address

8337 Eastlake Drive, Unit 104, Burnaby, BC, CAN, V5A 4W2

Website

https://www.railtown.ai

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.

Executives