Astera Labs (Astera Labs) Receivables Turnover : 5.20 (As of Mar. 2024)

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What is Astera Labs 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. Astera Labs's Revenue for the three months ended in Mar. 2024 was $65.26 Mil. Astera Labs's average Accounts Receivable for the three months ended in Mar. 2024 was $12.55 Mil. Hence, Astera Labs's Receivables Turnover for the three months ended in Mar. 2024 was 5.20.

Astera Labs Receivables Turnover Historical Data

The historical data trend for Astera Labs'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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Astera Labs Receivables Turnover Chart

Astera Labs Annual Data

Trend

Dec22

Dec23

Receivables Turnover

7.45

12.15

Astera Labs Quarterly Data
	Dec22	Mar23	Dec23	Mar24
Receivables Turnover	-	1.65	-	5.20

Competitive Comparison of Astera Labs's Receivables Turnover

For the Semiconductors subindustry, Astera Labs'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.

Astera Labs's Receivables Turnover Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Astera Labs's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Astera Labs's Receivables Turnover falls into.

Astera Labs Receivables Turnover Calculation

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

Astera Labs'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 )
=	115.794	/ (	(10.721	+	8.335)	/	2 )
=	115.794	/	9.528
=	12.15

Astera Labs'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 )
=	65.258	/ (	(8.335	+	16.757)	/	2 )
=	65.258	/	12.546
=	5.20

Astera Labs (NAS:ALAB) 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.

Astera Labs Receivables Turnover Related Terms

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Astera Labs (Astera Labs) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » Astera Labs Inc (NAS:ALAB) » Definitions » Receivables Turnover

Comparable Companies

Traded in Other Exchanges

N/A

Address

2901 Tasman Drive, Suite 205, Santa Clara, CA, USA, 95054

Website

https://www.asteralabs.com

Astera Labs Inc is a company that offers an Intelligent Connectivity Platform, comprised of Semiconductor-based, high-speed mixed-signal connectivity products that integrate a matrix of microcontrollers and sensors. COSMOS, their software suite which is embedded in its connectivity products and integrated into their customers' systems. The Company delivers critical connectivity performance, enables flexibility and customization, and supports observability and predictive analytics. This approach addresses the data, network, and memory bottlenecks, scalability, and other infrastructure requirements of hyperscalers and system original equipment manufacturers.

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