HDVY (Health Discovery) Quality Rank

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 Health Discovery Quality Rank?

The Quality Rank measures the business quality of a company relative to other companies. It is ranked based on the strength of the balance sheet, as well as the profitability and growth of the business. The ranked companies are split in equal numbers and then ranked from 1 to 10, with 10 being the highest.

The rank of balance sheet (30%)

The rank of balance sheet is done through the ranking of:
  • Interest coverage
  • Zscore
  • Debt to revenue
  • Equity to asset
  • Cash to debt

The rank of Profitability (70%)

The ranking of Profitability is done by ranking:
  • Operating margin mean rank (10-year mean average profit margine)
  • Operating margin growth rank
  • Fscore
  • Predictability rank
  • Revenue growth rank (5 year), when the growth is higher than 25%, set it as 25%
  • Num of year profit (number of years that is profitable within the last 10 years)
  • ROIC median (10-year median of ROIC)

Health Discovery Quality Rank Related Terms

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.