Railtown AI Technologies (FRA:S39) Receivables Turnover : 0.00 (As of Dec. 2024)

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What is Railtown AI Technologies Receivables Turnover?

The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Railtown AI Technologies's Revenue for the three months ended in Dec. 2024 was €0.00 Mil. Railtown AI Technologies's average Accounts Receivable for the three months ended in Dec. 2024 was €0.07 Mil.

Railtown AI Technologies Receivables Turnover Historical Data

The historical data trend for Railtown AI Technologies's Receivables Turnover 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 Receivables Turnover Chart

Railtown AI Technologies Annual Data

Trend

Sep20

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Sep24

Receivables Turnover

Railtown AI Technologies Quarterly Data
	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24
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Competitive Comparison of Railtown AI Technologies's Receivables Turnover

For the Software - Infrastructure subindustry, Railtown AI Technologies's Receivables Turnover, along with its competitors' market caps and Receivables Turnover 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 Receivables Turnover Distribution in the Software Industry

For the Software industry and Technology sector, Railtown AI Technologies's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Railtown AI Technologies's Receivables Turnover falls into.

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Railtown AI Technologies Receivables Turnover Calculation

Receivables Turnover measures the number of times a company collects its average accounts receivable balance.

Railtown AI Technologies's Receivables Turnover for the fiscal year that ended in Sep. 2024 is calculated as

	Receivables Turnover (A: Sep. 2024 )
=	Revenue	/	Average Total Inventories
=	Revenue (A: Sep. 2024 )	/ (	(Accounts Receivable (A: Sep. 2023 )	+	Accounts Receivable (A: Sep. 2024 ))	/	count )
=	0	/ (	(0.034	+	0.069)	/	2 )
=	0	/	0.0515
=	N/A

Railtown AI Technologies's Receivables Turnover for the quarter that ended in Dec. 2024 is calculated as

	Receivables Turnover (Q: Dec. 2024 )
=	Revenue	/	Average Total Inventories
=	Revenue (Q: Dec. 2024 )	/ (	(Accounts Receivable (Q: Sep. 2024 )	+	Accounts Receivable (Q: Dec. 2024 ))	/	count )
=	0	/ (	(0.069	+	0.076)	/	2 )
=	0	/	0.0725
=	N/A

Railtown AI Technologies (FRA:S39) Receivables Turnover Explanation

An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.

Railtown AI Technologies Receivables Turnover Related Terms

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Railtown AI Technologies Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Railtown AI Technologies Inc (FRA:S39) » Definitions » Receivables Turnover

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RLAIF:USA RAIL:Canada

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.

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