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Snowflake Piotroski F-Score


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


Snowflake Piotroski F-Score Historical Data

* All numbers are in millions except for per share data and ratio. All numbers are indicated in the company's associated stock exchange currency.

* Premium members only.

Snowflake Annual Data
Jan19 Jan20 Jan21
Piotroski F-Score N/A N/A N/A

Snowflake Quarterly Data
Jan19 Oct19 Jan20 Jul20 Oct20 Jan21
Piotroski F-Score Premium Member Only N/A N/A N/A N/A N/A

Competitive Comparison
* 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.


Snowflake Piotroski F-Score Distribution

* The bar in red indicates where Snowflake's Piotroski F-Score falls into.


Snowflake  (NYSE:SNOW) 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.


Snowflake Piotroski F-Score Related Terms


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