NVIDIA (WBO:NVDA) Selling and Marketing Expense : €0 Mil (TTM As of Jan. 2025)

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What is NVIDIA Selling and Marketing Expense?

Selling and Marketing Expense is the aggregate total amount of expenses directly related to the marketing or selling of products or services. NVIDIA's Selling and Marketing Expense for the three months ended in Jan. 2025 was €0 Mil. Its Selling and Marketing Expense for the trailing twelve months (TTM) ended in Jan. 2025 was €0 Mil.

NVIDIA Selling and Marketing Expense Historical Data

The historical data trend for NVIDIA's Selling and Marketing Expense 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 Selling and Marketing Expense Chart

NVIDIA Annual Data

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Selling and Marketing Expense

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NVIDIA Quarterly Data
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NVIDIA Selling and Marketing Expense Calculation

Selling and Marketing Expense is the aggregate total amount of expenses directly related to the marketing or selling of products or services.

Selling and Marketing Expense for the trailing twelve months (TTM) ended in Jan. 2025 adds up the quarterly data reported by the company within the most recent 12 months, which was €0 Mil.

NVIDIA Selling and Marketing Expense Related Terms

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NVIDIA Business Description

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Address

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

Website

https://www.nvidia.com

Nvidia Corp is an upfront developer of graphics processing unit and a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. Traditionally, GPU were used to enhanvce experience,now Nvidia offers AI GPUs, and also a software platform, Cuda, used for AI model development and training. The company is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads. such as AI, model training and inference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing.