QMLS (QumulusAI) Piotroski F-Score

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.

QMLS QumulusAI Inc QMLS
8 GF Score
Price $13.98
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What is QumulusAI Piotroski F-Score?

QumulusAI does not have enough data to calculate Piotroski F-Score.

QumulusAI  (NAS:QMLS) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


QumulusAI Piotroski F-Score Related Terms


QumulusAI Piotroski F-Score Historical Data

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QumulusAI Piotroski F-Score Chart

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QMLS
8GF Score
QumulusAI Inc QMLS
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QumulusAI Business Description

Comparable Companies
Address 1130 Powers Ferry Place SE, Marietta, GA, USA, 30067
QumulusAI Inc is a cloud infrastructure company engaged in the rapid deployment of graphics processing unit (GPU)-powered solutions for artificial intelligence (AI) applications, serving a critical market that is often overlooked by large-scale cloud providers (hyperscalers), which operate massive, standardized computing infrastructures serving the immense enterprises. The platform delivers flexible, competitively priced, and customizable solutions for underserved small- and mid-market customers, including machine learning teams, AI infrastructure startups, and research institutions, and also supports the scale and complexity requirements of large enterprises. Its products are B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, and Others. Its solutions are Enterprise, Research, and AI Startups.
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