NVIDIA (MIC:NVDA-RM) Cyclically Adjusted PS Ratio: (As of Aug. 19, 2026)

Author: Vera Yuan Vera Yuan
Vera Yuan
Vera Yuan
Director of Data and Quant Analytics at GuruFocus
Focused on building reliable datasets, financial models, and research tools for value-minded investors. Committed to turning complex data into practical guidance for value-investing and long-term wealth.
Reviewed by: Charlie Tian Charlie Tian
Charlie Tian
Charlie Tian
Founder & CEO of GuruFocus
Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.

What is NVIDIA Cyclically Adjusted PS Ratio?

Note: If the price history is too short, we do not calculate current Cyclically Adjusted PS Ratio for this stock. All the historical data is shown as the company's primary share's data instead.

Shiller PE for Stocks: The True Measure of Stock Valuation


NVIDIA  (MIC:NVDA-RM) Cyclically Adjusted PS Ratio Explanation

Compared with the regular PS Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PS Ratio smoothed out the fluctuations of revenue during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Cyclically Adjusted PS Ratio should give similar results to regular PS Ratio.


NVIDIA Cyclically Adjusted PS Ratio Related Terms


NVIDIA Cyclically Adjusted PS Ratio Historical Data

* Premium members only.

The historical data trend for NVIDIA's Cyclically Adjusted PS Ratio 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.

NVIDIA Cyclically Adjusted PS Ratio Chart

NVIDIA Annual Data
Trend Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25 Jan26
Cyclically Adjusted PS Ratio
Get a 7-Day Free Trial Premium Member Only Premium Member Only 54.57 34.63 76.53 90.28 86.22

NVIDIA Quarterly Data
Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25 Apr25 Jul25 Oct25 Jan26 Apr26
Cyclically Adjusted PS Ratio 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 71.89 104.06 104.19 86.22 76.85

MIC:NVDA-RM vs AVGO, MU, AMD: Cyclically Adjusted PS Ratio Comparison

For the Semiconductors subindustry, NVIDIA's Cyclically Adjusted PS Ratio, along with its competitors' market caps and Cyclically Adjusted PS Ratio 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 Cyclically Adjusted PS Ratio vs Semiconductors Industry

For the Semiconductors industry and Technology sector, NVIDIA's Cyclically Adjusted PS Ratio distribution charts can be found below:

* The bar in red indicates where NVIDIA's Cyclically Adjusted PS Ratio falls into.



NVIDIA Cyclically Adjusted PS Ratio Calculation

Like the Shiller PE Ratio, the Cyclically Adjusted PS Ratio takes the Revenue per Share from the past 10 years, adjusts it for inflation, and then calculates the average. This average is then used for the P/S calculation. Because it considers this 10-year average, it's often referred to as the CAPS Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted PS Ratio.

NVIDIA's Cyclically Adjusted Revenue per Share for the quarter that ended in Apr. 2026 is calculated as:

For example, NVIDIA's adjusted Revenue per Share data for the three months ended in Apr. 2026 was:

Adj_RevenuePerShare=Revenue per Share/CPI of Apr. 2026 (Change)*Current CPI (Apr. 2026)
=3.346/333.0200*333.0200
=3.346

Current CPI (Apr. 2026) = 333.0200.

NVIDIA Quarterly Data

Revenue per Share CPI Adj_RevenuePerShare
201607 0.056 240.628 0.078
201610 0.077 241.729 0.106
201701 0.079 242.839 0.108
201704 0.076 244.524 0.104
201707 0.088 244.786 0.120
201710 0.105 246.663 0.142
201801 0.116 247.867 0.156
201804 0.128 250.546 0.170
201807 0.125 252.006 0.165
201810 0.127 252.885 0.167
201901 0.089 251.712 0.118
201904 0.090 255.548 0.117
201907 0.105 256.571 0.136
201910 0.122 257.346 0.158
202001 0.125 257.971 0.161
202004 0.124 256.389 0.161
202007 0.154 259.101 0.198
202010 0.188 260.388 0.240
202101 0.198 261.582 0.252
202104 0.224 267.054 0.279
202107 0.257 273.003 0.313
202110 0.280 276.589 0.337
202201 0.300 281.148 0.355
202204 0.327 289.109 0.377
202207 0.266 296.276 0.299
202210 0.237 298.012 0.265
202301 0.244 299.170 0.272
202304 0.289 303.363 0.317
202307 0.540 305.691 0.588
202310 0.727 307.671 0.787
202401 0.886 308.417 0.957
202404 1.046 313.548 1.111
202407 1.209 314.540 1.280
202410 1.416 315.664 1.494
202501 1.592 317.671 1.669
202504 1.790 320.795 1.858
202507 1.905 323.048 1.964
202510 2.328 0.000
202601 2.789 325.252 2.856
202604 3.346 333.020 3.346

Add all the adjusted revenue per share together and divide 10 will get our Cyclically Adjusted Revenue per Share.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.


NVIDIA 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 to run large language models. 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.