NVIDIA (LIM:NVDA) Inventory Turnover : 1.06 (As of Jan. 2024)

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What is NVIDIA Inventory Turnover?

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. NVIDIA's Cost of Goods Sold for the three months ended in Jan. 2024 was $5,312 Mil. NVIDIA's Average Total Inventories for the quarter that ended in Jan. 2024 was $5,031 Mil. NVIDIA's Inventory Turnover for the quarter that ended in Jan. 2024 was 1.06.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. NVIDIA's Days Inventory for the three months ended in Jan. 2024 was 86.41.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. NVIDIA's Inventory-to-Revenue for the quarter that ended in Jan. 2024 was 0.23.

NVIDIA Inventory Turnover Historical Data

The historical data trend for NVIDIA's Inventory Turnover 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 Inventory Turnover Chart

NVIDIA Annual Data

Trend

Jan15

Jan16

Jan17

Jan18

Jan19

Jan20

Jan21

Jan22

Jan23

Jan24

Inventory Turnover

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3.25

4.48

4.26

2.99

3.18

NVIDIA Quarterly Data
	Apr19	Jul19	Oct19	Jan20	Apr20	Jul20	Oct20	Jan21	Apr21	Jul21	Oct21	Jan22	Apr22	Jul22	Oct22	Jan23	Apr23	Jul23	Oct23	Jan24
Inventory Turnover	Get a 7-Day Free Trial															0.46	0.52	0.91	1.04	1.06

NVIDIA Inventory Turnover Calculation

NVIDIA's Inventory Turnover for the fiscal year that ended in Jan. 2024 is calculated as

	Inventory Turnover (A: Jan. 2024 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (A: Jan. 2024 )	/ (	(Total Inventories (A: Jan. 2023 )	+	Total Inventories (A: Jan. 2024 ))	/	count )
=	16621	/ (	(5159	+	5282)	/	2 )
=	16621	/	5220.5
=	3.18

NVIDIA's Inventory Turnover for the quarter that ended in Jan. 2024 is calculated as

	Inventory Turnover (Q: Jan. 2024 )
=	Cost of Goods Sold	/	Average Total Inventories
=	Cost of Goods Sold (Q: Jan. 2024 )	/ (	(Total Inventories (Q: Oct. 2023 )	+	Total Inventories (Q: Jan. 2024 ))	/	count )
=	5312	/ (	(4779	+	5282)	/	2 )
=	5312	/	5030.5
=	1.06

NVIDIA (LIM:NVDA) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

NVIDIA's Days Inventory for the three months ended in Jan. 2024 is calculated as:

Days Inventory	=	Average Total Inventories (Q: Jan. 2024 )	/	Cost of Goods Sold (Q: Jan. 2024 )	*	Days in Period
	=	5030.5	/	5312	*	365 / 4
	=	86.41

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

NVIDIA's Inventory to Revenue for the quarter that ended in Jan. 2024 is calculated as

Inventory-to-Revenue	=	Average Total Inventories (Q: Jan. 2024 )	/	Revenue (Q: Jan. 2024 )
	=	5030.5	/	22103
	=	0.23

Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.

NVIDIA Inventory Turnover Related Terms

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NVIDIA (LIM:NVDA) Business Description

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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.