Noul Co (XKRX:376930) Receivables Turnover : 0.03 (As of Mar. 2024)

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What is Noul Co 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. Noul Co's Revenue for the three months ended in Mar. 2024 was ₩29 Mil. Noul Co's average Accounts Receivable for the three months ended in Mar. 2024 was ₩880 Mil. Hence, Noul Co's Receivables Turnover for the three months ended in Mar. 2024 was 0.03.

Noul Co Receivables Turnover Historical Data

The historical data trend for Noul Co'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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Noul Co Receivables Turnover Chart

Noul Co Annual Data

Trend

Dec19

Dec20

Dec21

Dec22

Dec23

Receivables Turnover

2.52

6.15

1.42

3.42

Noul Co Quarterly Data
	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
Receivables Turnover	Get a 7-Day Free Trial										0.93	1.42	0.65	0.70	0.03

Competitive Comparison of Noul Co's Receivables Turnover

For the Diagnostics & Research subindustry, Noul Co'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.

Noul Co's Receivables Turnover Distribution in the Medical Diagnostics & Research Industry

For the Medical Diagnostics & Research industry and Healthcare sector, Noul Co's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Noul Co's Receivables Turnover falls into.

Noul Co Receivables Turnover Calculation

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

Noul Co's Receivables Turnover for the fiscal year that ended in Dec. 2023 is calculated as

	Receivables Turnover (A: Dec. 2023 )
=	Revenue	/	Average Total Inventories
=	Revenue (A: Dec. 2023 )	/ (	(Accounts Receivable (A: Dec. 2022 )	+	Accounts Receivable (A: Dec. 2023 ))	/	count )
=	2733.841	/ (	(398.659	+	1199.414)	/	2 )
=	2733.841	/	799.0365
=	3.42

Noul Co's Receivables Turnover for the quarter that ended in Mar. 2024 is calculated as

	Receivables Turnover (Q: Mar. 2024 )
=	Revenue	/	Average Total Inventories
=	Revenue (Q: Mar. 2024 )	/ (	(Accounts Receivable (Q: Dec. 2023 )	+	Accounts Receivable (Q: Mar. 2024 ))	/	count )
=	28.924	/ (	(1199.414	+	560.704)	/	2 )
=	28.924	/	880.059
=	0.03

Noul Co (XKRX:376930) 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.

Noul Co Receivables Turnover Related Terms

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Noul Co (XKRX:376930) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Medical Diagnostics & Research » Noul Co Ltd (XKRX:376930) » Definitions » Receivables Turnover

Comparable Companies

Traded in Other Exchanges

N/A

Address

B-10F, 338, Gwanggyojungang-ro, Suji-gu, Gyeonggi-do, Yongin-si, KOR, 16942

Website

https://www.noul.kr

Noul Co Ltd provides solutions for chronic and systemic problems in healthcare. The company's miLab is an all-in-one, fully-automated device which can process sample preparation and AI diagnostic in one workflow. It integrates technologies from computer vision AI, bio, hardware, and software engineering.

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