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NVIDIA (BSP:NVDC34) Return-on-Tangible-Equity

: 149.38% (As of Jan. 2024)
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Return-on-Tangible-Equity is calculated as Net Income divided by its average total shareholder tangible equity. Total shareholder tangible equity equals to Total Stockholders Equity minus Intangible Assets. NVIDIA's annualized net income for the quarter that ended in Jan. 2024 was R$241,680 Mil. NVIDIA's average shareholder tangible equity for the quarter that ended in Jan. 2024 was R$161,790 Mil. Therefore, NVIDIA's annualized Return-on-Tangible-Equity for the quarter that ended in Jan. 2024 was 149.38%.

The historical rank and industry rank for NVIDIA's Return-on-Tangible-Equity or its related term are showing as below:

BSP:NVDC34' s Return-on-Tangible-Equity Range Over the Past 10 Years
Min: 16.91   Med: 39.25   Max: 122.67
Current: 122.67

During the past 13 years, NVIDIA's highest Return-on-Tangible-Equity was 122.67%. The lowest was 16.91%. And the median was 39.25%.

BSP:NVDC34's Return-on-Tangible-Equity is ranked better than
97.93% of 964 companies
in the Semiconductors industry
Industry Median: 4.95 vs BSP:NVDC34: 122.67

NVIDIA Return-on-Tangible-Equity Historical Data

The historical data trend for NVIDIA's Return-on-Tangible-Equity 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.

* Premium members only.

NVIDIA Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Return-on-Tangible-Equity
Get a 7-Day Free Trial Premium Member Only Premium Member Only 28.90 45.88 65.91 23.44 109.45

NVIDIA Quarterly Data
Apr19 Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24
Return-on-Tangible-Equity Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 36.08 46.50 120.51 153.52 149.38

Competitive Comparison

For the Semiconductors subindustry, NVIDIA's Return-on-Tangible-Equity, along with its competitors' market caps and Return-on-Tangible-Equity data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


NVIDIA Return-on-Tangible-Equity Distribution

For the Semiconductors industry and Technology sector, NVIDIA's Return-on-Tangible-Equity distribution charts can be found below:

* The bar in red indicates where NVIDIA's Return-on-Tangible-Equity falls into.



NVIDIA Return-on-Tangible-Equity Calculation

NVIDIA's annualized Return-on-Tangible-Equity for the fiscal year that ended in Jan. 2024 is calculated as

Return-on-Tangible-Equity=Net Income/( (Total Tangible Equity+Total Tangible Equity)/ count )
(A: Jan. 2024 )  (A: Jan. 2023 )(A: Jan. 2024 )
=Net Income/( (Total Stockholders Equity - Intangible Assets+Total Stockholders Equity - Intangible Assets )/ count )
(A: Jan. 2024 )  (A: Jan. 2023 )(A: Jan. 2024 )
=146365.632/( (83350.386+184117.736 )/ 2 )
=146365.632/133734.061
=109.45 %

NVIDIA's annualized Return-on-Tangible-Equity for the quarter that ended in Jan. 2024 is calculated as

Return-on-Tangible-Equity=Net Income/( (Total Tangible Equity+Total Tangible Equity)/ count )
(Q: Jan. 2024 )  (Q: Oct. 2023 )(Q: Jan. 2024 )
=Net Income/( (Total Stockholders Equity - Intangible Assets+Total Stockholders Equity - Intangible Assets)/ count )
(Q: Jan. 2024 )  (Q: Oct. 2023 )(Q: Jan. 2024 )
=241680.348/( (139461.945+184117.736)/ 2 )
=241680.348/161789.8405
=149.38 %

* 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.

In the calculation of annual Return-on-Tangible-Equity, the net income of the last fiscal year and the average total shareholder tangible equity over the fiscal year are used. In calculating the quarterly data, the net income data used here is four times the quarterly (Jan. 2024) net income data. Return-on-Tangible-Equity is displayed in the 10-year financial page.


NVIDIA  (BSP:NVDC34) Return-on-Tangible-Equity Explanation

Return-on-Tangible-Equity measures the rate of return on the ownership interest (shareholder's tangible equity) of the common stock owners. It measures a firm's efficiency at generating profits from every unit of shareholders' tangible equity (shareholders equity minus intangibles). Return-on-Tangible-Equity shows how well a company uses investment funds to generate earnings growth. Return-on-Tangible-Equitys between 15% and 20% are considered desirable.


Be Aware

Net Income is used.

Because a company can increase its Return-on-Tangible-Equity by having more financial leverage, it is important to watch the leverage ratio when investing in high Return-on-Tangible-Equity companies. Like Return-on-Tangible-Asset, Return-on-Tangible-Equity is calculated with only 12 months data. Fluctuations in company's earnings or business cycles can affect the ratio drastically. It is important to look at the ratio from a long term perspective.

Asset light businesses require very few assets to generate very high earnings. Their Return-on-Tangible-Equitys can be extremely high.


NVIDIA Return-on-Tangible-Equity Related Terms

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NVIDIA (BSP:NVDC34) Business Description

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

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