CBRS (Cerebras Systems) Change In Prepaid Assets : $0.00 Mil (TTM As of Jun. 2024)

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What is Cerebras Systems Change In Prepaid Assets?

Cerebras Systems's Change In Prepaid Assets for the quarter that ended in Jun. 2024 was $0.00 Mil. It means Cerebras Systems's Prepaid Assets stayed the same from Dec. 2023 to Jun. 2024 .

Cerebras Systems's Change In Prepaid Assets for the fiscal year that ended in Dec. 2023 was $0.49 Mil. It means Cerebras Systems's Prepaid Assets increased by $0.49 Mil from Dec. 2022 to Dec. 2023 .

Cerebras Systems Change In Prepaid Assets Historical Data

The historical data trend for Cerebras Systems's Change In Prepaid 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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Cerebras Systems Change In Prepaid Assets Chart

Cerebras Systems Annual Data

Trend

Dec22

Dec23

Change In Prepaid Assets

0.02

0.49

Cerebras Systems Semi-Annual Data
	Dec22	Jun23	Dec23	Jun24
Change In Prepaid Assets	-	-	-	-

Cerebras Systems Change In Prepaid Assets Calculation

Change In Prepaid Assets is any increase or decrease between periods of the prepaid assets.

For stock reported annually, GuruFocus uses latest annual data as the TTM data. Change In Prepaid Assets for the trailing twelve months (TTM) ended in Jun. 2024 was $0.00 Mil.

Cerebras Systems Change In Prepaid Assets Related Terms

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Cerebras Systems Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » Cerebras Systems Inc (NAS:CBRS) » Definitions » Change In Prepaid Assets

Comparable Companies

Traded in Other Exchanges

N/A

Address

1237 E. Arques Avenue, Sunnyvale, CA, USA, 94085

Website

https://www.cerebras.ai

Cerebras Systems Inc is an AI company. It designs processors for AI training and inference. The company builds AI systems to power, cool, and feed the processors data. It develops software to link these systems together into industry-leading supercomputers that are simple to use, even for the most complicated AI work, using familiar ML frameworks like PyTorch. Customers use its supercomputers to train industry-leading models. The company uses these supercomputers to run inference at speeds unobtainable from alternative commercial technologies. It delivers these AI capabilities to its customers on-premise and via the cloud. The company generates the majority of its revenue from the USA.