Infinitii Ai (Infinitii Ai) Receivables Turnover : 1.22 (As of Dec. 2023)

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What is Infinitii Ai 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. Infinitii Ai's Revenue for the three months ended in Dec. 2023 was $0.43 Mil. Infinitii Ai's average Accounts Receivable for the three months ended in Dec. 2023 was $0.35 Mil. Hence, Infinitii Ai's Receivables Turnover for the three months ended in Dec. 2023 was 1.22.

Infinitii Ai Receivables Turnover Historical Data

The historical data trend for Infinitii Ai'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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Infinitii Ai Receivables Turnover Chart

Infinitii Ai Annual Data

Trend

Jun14

Jun15

Jun16

Jun17

Jun18

Jun19

Jun20

Jun21

Jun22

Jun23

Receivables Turnover

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4.40

5.14

4.75

3.59

4.89

Infinitii Ai Quarterly Data
	Mar19	Jun19	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23
Receivables Turnover	Get a 7-Day Free Trial															1.29	1.23	1.05	1.10	1.22

Competitive Comparison of Infinitii Ai's Receivables Turnover

For the Software - Application subindustry, Infinitii Ai'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.

Infinitii Ai's Receivables Turnover Distribution in the Software Industry

For the Software industry and Technology sector, Infinitii Ai's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Infinitii Ai's Receivables Turnover falls into.

Infinitii Ai Receivables Turnover Calculation

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

Infinitii Ai's Receivables Turnover for the fiscal year that ended in Jun. 2023 is calculated as

	Receivables Turnover (A: Jun. 2023 )
=	Revenue	/	Average Total Inventories
=	Revenue (A: Jun. 2023 )	/ (	(Accounts Receivable (A: Jun. 2022 )	+	Accounts Receivable (A: Jun. 2023 ))	/	count )
=	1.544	/ (	(0.259	+	0.373)	/	2 )
=	1.544	/	0.316
=	4.89

Infinitii Ai's Receivables Turnover for the quarter that ended in Dec. 2023 is calculated as

	Receivables Turnover (Q: Dec. 2023 )
=	Revenue	/	Average Total Inventories
=	Revenue (Q: Dec. 2023 )	/ (	(Accounts Receivable (Q: Sep. 2023 )	+	Accounts Receivable (Q: Dec. 2023 ))	/	count )
=	0.427	/ (	(0.348	+	0.351)	/	2 )
=	0.427	/	0.3495
=	1.22

Infinitii Ai (OTCPK:CDTAF) 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.

Infinitii Ai Receivables Turnover Related Terms

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Infinitii Ai (Infinitii Ai) Business Description

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IAI:Canada

Address

1090 West Georgia Street, Suite 488, Vancouver, BC, CAN, V6E 3V7

Website

https://www.infinitii.ai

Infinitii Ai Inc provides environmental monitoring to water infrastructure utilities in the U.S and Canada. The group has developed AI-driven predictive analytics software for Smart City and Smart Industry infrastructure operations that rely on time-series data. The software performs real-time analysis, checks flow monitoring status, sets alarms through a single interface, accepts all types of data from any source, and offers predictive and prescriptive machine learning analytics. The company serves its customers through a trusted partner network that includes engineering and IT services companies like AECOM, Core & Main, Kerr Wood Leidal, K2 Geospatial, and CSL Services. It has one segment, comprised of data services. It derives the majority of its revenue from Canada.