NVIDIA (WAR:NVDA) Total Debt per Share : zł1.59 (As of Jan. 2025)

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What is NVIDIA Total Debt per Share?

zł1.59 (As of Jan. 2025)

Total Debt per Share is calculated as total debt divided by Shares Outstanding (EOP). Total debt is calculated as Long-Term Debt & Capital Lease Obligation plus Short-Term Debt & Capital Lease Obligation. NVIDIA's Total Debt Per Share for the quarter that ended in Jan. 2025 was zł1.59.

NVIDIA Total Debt per Share Historical Data

The historical data trend for NVIDIA's Total Debt per Share 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 Total Debt per Share Chart

NVIDIA Annual Data

Trend

Jan16

Jan17

Jan18

Jan19

Jan20

Jan21

Jan22

Jan23

Jan24

Jan25

Total Debt per Share

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1.16

1.79

1.85

1.70

1.59

NVIDIA Quarterly Data
	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24	Apr24	Jul24	Oct24	Jan25
Total Debt per Share	Get a 7-Day Free Trial															1.70	1.73	1.55	1.58	1.59

NVIDIA Total Debt per Share Calculation

NVIDIA's Total Debt Per Share for the fiscal year that ended in Jan. 2025 is calculated as:

Total Debt Per Share	=	(Long-Term Debt & Capital Lease Obligation	+	Short-Term Debt & Capital Lease Obligation)	/	Shares Outstanding (EOP)
	=	(37,900	+	1,093)	/	24,477
	=	1.59

NVIDIA's Total Debt Per Share for the quarter that ended in Jan. 2025 is calculated as:

Total Debt Per Share	=	(Long-Term Debt & Capital Lease Obligation	+	Short-Term Debt & Capital Lease Obligation)	/	Shares Outstanding (EOP)
	=	(37,900	+	1,093)	/	24,477
	=	1.59

NVIDIA Total Debt per Share 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.