NVIDIA (MIC:NVDA-RM) Cyclically Adjusted PB Ratio: (As of Aug. 29, 2026)

Author: Vera Yuan Vera Yuan
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Director of Data and Quant Analytics at GuruFocus
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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 PB Ratio?

Note: If the price history is too short, we do not calculate current Cyclically Adjusted PB 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 PB Ratio Explanation

Compared with the regular PB Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PB Ratio smoothed out the fluctuations of book value 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 PB Ratio should give similar results to regular PB Ratio.


NVIDIA Cyclically Adjusted PB Ratio Related Terms


NVIDIA Cyclically Adjusted PB Ratio Historical Data

* Premium members only.

The historical data trend for NVIDIA's Cyclically Adjusted PB 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 PB Ratio Chart

NVIDIA Annual Data
Trend Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25 Jan26
Cyclically Adjusted PB Ratio
Get a 7-Day Free Trial Premium Member Only Premium Member Only 61.71 39.57 100.19 138.76 143.40

NVIDIA Quarterly Data
Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25 Apr25 Jul25 Oct25 Jan26 Apr26 Jul26
Cyclically Adjusted PB 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 168.51 172.11 143.40 127.97 111.93

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

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

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

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



NVIDIA Cyclically Adjusted PB Ratio Calculation

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

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

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

Adj_Book=Book Value per Share/CPI of Jul. 2026 (Change)*Current CPI (Jul. 2026)
=9.483/333.9180*333.9180
=9.483

Current CPI (Jul. 2026) = 333.9180.

NVIDIA Quarterly Data

Book Value per Share CPI Adj_Book
201610 0.247 241.729 0.341
201701 0.246 242.839 0.338
201704 0.258 244.524 0.352
201707 0.249 244.786 0.340
201710 0.262 246.663 0.355
201801 0.308 247.867 0.415
201804 0.318 250.546 0.424
201807 0.362 252.006 0.480
201810 0.388 252.885 0.512
201901 0.385 251.712 0.511
201904 0.398 255.548 0.520
201907 0.424 256.571 0.552
201910 0.458 257.346 0.594
202001 0.498 257.971 0.645
202004 0.532 256.389 0.693
202007 0.564 259.101 0.727
202010 0.619 260.388 0.794
202101 0.681 261.582 0.869
202104 0.753 267.054 0.942
202107 0.847 273.003 1.036
202110 0.951 276.589 1.148
202201 1.062 281.148 1.261
202204 1.051 289.109 1.214
202207 0.958 296.276 1.080
202210 0.865 298.012 0.969
202301 0.896 299.170 1.000
202304 0.992 303.363 1.092
202307 1.114 305.691 1.217
202310 1.349 307.671 1.464
202401 1.744 308.417 1.888
202404 1.998 313.548 2.128
202407 2.368 314.540 2.514
202410 2.689 315.664 2.844
202501 3.241 317.671 3.407
202504 3.438 320.795 3.579
202507 4.113 323.048 4.251
202510 4.892 0.000
202601 6.472 325.252 6.644
202604 8.070 333.020 8.092
202607 9.483 333.918 9.483

Add all the adjusted book value per share together and divide the count will get our Cyclically Adjusted Book 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.