HDVY (Health Discovery) Cyclically Adjusted PB Ratio: (As of Aug. 07, 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.
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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 Health Discovery Cyclically Adjusted PB Ratio?

Shiller PE for Stocks: The True Measure of Stock Valuation


Health Discovery  (OTCPK:HDVY) 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.


Health Discovery Cyclically Adjusted PB Ratio Related Terms


Health Discovery Cyclically Adjusted PB Ratio Historical Data

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The historical data trend for Health Discovery'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.

Health Discovery Cyclically Adjusted PB Ratio Chart

Health Discovery Annual Data
Trend Dec11 Dec12 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20
Cyclically Adjusted PB Ratio
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00

Health Discovery Quarterly Data
Mar16 Jun16 Sep16 Dec16 Dec17 Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21
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 0.00 0.00 0.00 0.00 0.00

HDVY vs SSYNF, PAXH, EWLL: Cyclically Adjusted PB Ratio Comparison

For the Health Information Services subindustry, Health Discovery'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.


Health Discovery Cyclically Adjusted PB Ratio vs Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, Health Discovery's Cyclically Adjusted PB Ratio distribution charts can be found below:

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



Health Discovery 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.

Health Discovery's Cyclically Adjusted Book per Share for the quarter that ended in Sep. 2021 is calculated as:

For example, Health Discovery's adjusted Book Value per Share data for the three months ended in Sep. 2021 was:

Adj_Book=Book Value per Share/CPI of Sep. 2021 (Change)*Current CPI (Sep. 2021)
=-0.002/274.3100*274.3100
=-0.002

Current CPI (Sep. 2021) = 274.3100.

Health Discovery Quarterly Data

Book Value per Share CPI Adj_Book
201103 0.008 223.467 0.010
201106 0.007 225.722 0.009
201109 0.004 226.889 0.005
201112 0.000 225.672 0.000
201203 -0.003 229.392 -0.004
201206 -0.005 229.478 -0.006
201209 0.002 231.407 0.002
201212 -0.002 229.601 -0.002
201303 -0.002 232.773 -0.002
201306 -0.004 233.504 -0.005
201309 -0.006 234.149 -0.007
201312 -0.002 233.049 -0.002
201403 -0.002 236.293 -0.002
201406 -0.002 238.343 -0.002
201409 -0.001 238.031 -0.001
201412 0.002 234.812 0.002
201503 0.002 236.119 0.002
201506 0.001 238.638 0.001
201509 0.001 237.945 0.001
201512 0.001 236.525 0.001
201603 -0.003 238.132 -0.003
201606 0.000 241.018 0.000
201609 -0.001 241.428 -0.001
201612 -0.001 241.432 -0.001
201712 -0.004 246.524 -0.004
201803 -0.005 249.554 -0.005
201806 -0.006 251.989 -0.007
201809 -0.006 252.439 -0.007
201812 -0.007 251.233 -0.008
201903 0.000 254.202 0.000
201906 0.000 256.143 0.000
201909 0.000 256.759 0.000
201912 -0.001 256.974 -0.001
202003 -0.005 258.115 -0.005
202006 0.002 257.797 0.002
202009 0.001 260.280 0.001
202012 0.000 260.474 0.000
202103 -0.001 264.877 -0.001
202106 -0.001 271.696 -0.001
202109 -0.002 274.310 -0.002

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.


Health Discovery Business Description

Address 2002 Summit Boulevard, NE Suite 300, Atlanta, GA, USA, 30319
Health Discovery Corp is a machine learning company that uses advanced mathematical techniques to analyze large amounts of data to uncover patterns that might otherwise be undetectable. The company operates in the field of molecular diagnostics where such tools are critical to scientific discovery. It owns a patent portfolio of machine learning technology, including certain pioneer patents on Support Vector Machine. The company recognizes revenue principally from license and royalty fees for intellectual property and from development agreements with research partners.