Kalray (XPAR:ALKAL) Scaled Net Operating Assets : 0.53 (As of Dec. 2023)

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What is Kalray Scaled Net Operating Assets?

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Kalray's operating assets for the quarter that ended in Dec. 2023 was €67.31 Mil. Kalray's operating liabilities for the quarter that ended in Dec. 2023 was €20.60 Mil. Kalray's Total Assets for the quarter that ended in Jun. 2023 was €87.44 Mil. Therefore, Kalray's scaled net operating assets (SNOA) for the quarter that ended in Dec. 2023 was 0.53.

Kalray Scaled Net Operating Assets Historical Data

The historical data trend for Kalray's Scaled Net Operating Assets 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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Kalray Scaled Net Operating Assets Chart

Kalray Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Scaled Net Operating Assets

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0.35

0.49

0.53

0.66

0.53

Kalray Semi-Annual Data
	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
Scaled Net Operating Assets	Get a 7-Day Free Trial										0.53	0.70	0.45	0.48	0.53

Competitive Comparison of Kalray's Scaled Net Operating Assets

For the Semiconductors subindustry, Kalray's Scaled Net Operating Assets, along with its competitors' market caps and Scaled Net Operating Assets 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.

Kalray's Scaled Net Operating Assets Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Kalray's Scaled Net Operating Assets distribution charts can be found below:

* The bar in red indicates where Kalray's Scaled Net Operating Assets falls into.

Kalray Scaled Net Operating Assets Calculation

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Kalray's Scaled Net Operating Assets (SNOA) for the fiscal year that ended in Dec. 2023 is calculated as

	Scaled Net Operating Assets (SNOA)		(A: Dec. 2023 )
=	(Operating Assets (A: Dec. 2023 )	-	Operating Liabilities (A: Dec. 2023 ))	/	Total Assets (A: Dec. 2022 )
=	(67.308	-	20.6)	/	88.045
=	0.53

where

	Operating Assets		(A: Dec. 2023 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	80.517	-	13.209
=	67.308

	Operating Liabilities		(A: Dec. 2023 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	23.871	-	3.271	-	0
=	20.6

Kalray's Scaled Net Operating Assets (SNOA) for the quarter that ended in Dec. 2023 is calculated as

	Scaled Net Operating Assets (SNOA)		(Q: Dec. 2023 )
=	(Operating Assets (Q: Dec. 2023 )	-	Operating Liabilities (Q: Dec. 2023 ))	/	Total Assets (Q: Jun. 2023 )
=	(67.308	-	20.6)	/	87.44
=	0.53

where

	Operating Assets		(Q: Dec. 2023 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	80.517	-	13.209
=	67.308

	Operating Liabilities		(Q: Dec. 2023 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	23.871	-	3.271	-	0
=	20.6

Kalray Scaled Net Operating Assets Related Terms

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Kalray (XPAR:ALKAL) Business Description

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0ABT:UK 3FS:Germany

Address

180 Avenue de l’Europe, Montbonnot, Saint Martin, FRA, 38330

Website

http://www.kalrayinc.com

Kalray SA is engaged in developing large-scale core processor solutions that offer high performance, low power consumption and real-time processing. Its MPPA processor family, based on its patented supercomputing on a chip many-core technology, delivers differentiated solutions for server acceleration and data center optimization, as well as for critical embedded applications in aerospace, defense and automotive.

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