NVIDIA (LIM:NVDA) Effect of Exchange Rate Changes

: $0 Mil (TTM As of Jan. 2024)

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NVIDIA's Effect of Exchange Rate Changes for the three months ended in Jan. 2024 was $0 Mil.

NVIDIA's Effect of Exchange Rate Changes for the trailing twelve months (TTM) ended in Jan. 2024 was $0 Mil.

NVIDIA Effect of Exchange Rate Changes Historical Data

The historical data trend for NVIDIA's Effect of Exchange Rate Changes 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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NVIDIA Annual Data

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Effect of Exchange Rate Changes

NVIDIA Quarterly Data
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NVIDIA Effect of Exchange Rate Changes Calculation

Effect of Exchange Rate Changes represents the effect of exchange rate changes on cash balances held in foreign currencies.

Effect of Exchange Rate Changes for the trailing twelve months (TTM) ended in Jan. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was $0 Mil.

NVIDIA Effect of Exchange Rate Changes Related Terms

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NVIDIA (LIM:NVDA) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » NVIDIA Corp (LIM:NVDA) » Definitions » Effect of Exchange Rate Changes

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Traded in Other Exchanges

NVDA:USA NVDA:Mexico NVDA_KZ:Kazakhstan NVDA:Italy NVDd:UK 0R1I:UK NVD:Germany NVDA:Canada NVDC34:Brazil NVDA:Austria NVDA:Argentina

Address

2788 San Tomas Expressway, Santa Clara, CA, USA, 95051

Website

https://www.nvidia.com

Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.