CBRS (Cerebras Systems) Current Deferred Revenue : $333.77 Mil (As of Jun. 2024)

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What is Cerebras Systems Current Deferred Revenue?

Current Deferred Revenue represents collections of cash or other assets related to revenue producing activity for which revenue has not yet been recognized. Generally, an entity records deferred revenue when it receives consideration from a customer before achieving certain criteria that must be met for revenue to be recognized in conformity with GAAP. It can be either current or non-current item. Also called unearned revenue.

Cerebras Systems's current deferred revenue for the quarter that ended in Jun. 2024 was $333.77 Mil.

Cerebras Systems Current Deferred Revenue Historical Data

The historical data trend for Cerebras Systems's Current Deferred Revenue 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 Current Deferred Revenue Chart

Cerebras Systems Annual Data

Trend

Dec22

Dec23

Current Deferred Revenue

2.56

13.68

Cerebras Systems Semi-Annual Data
	Dec22	Jun23	Dec23	Jun24
Current Deferred Revenue	2.56	-	13.68	333.77

Cerebras Systems Current Deferred Revenue Related Terms

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Cerebras Systems Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » Cerebras Systems Inc (NAS:CBRS) » Definitions » Current Deferred Revenue

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Traded in Other Exchanges

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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.