Equity Clock

Arithmetic Average Seasonal Chart

Geometric Average Seasonal Chart

SNOW Relative to the S&P 500

SNOW Relative to the Sector

% of Revenue Generated in Each Quarter

% of Free Cash Flow Generated in Each Quarter

% of Net Income Generated in Each Quarter

Seasonal Chart Analysis

Analysis of the Snowflake Inc. (NYSE:SNOW) seasonal charts above shows that a Buy Date of August 22 and a Sell Date of December 14 has resulted in a geometric average return of 19.93% above the benchmark rate of the S&P 500 Total Return Index over the past 4 years. This seasonal timeframe has shown positive results compared to the benchmark in 4 of those periods. This is an excellent rate of success and the return strongly outperforms the relative buy-and-hold performance of the stock over the past 4 years by an average of 44.1% per year.

The seasonal timeframe is Inline with the period of seasonal strength for the Technology sector, which runs from October 9 to February 15. The seasonal chart for the broad sector is available via the following link: Technology Sector Seasonal Chart.

A word of caution: Only 4 years of data is available for shares of SNOW, perhaps insufficient to create a seasonal profile that accurately gauges the seasonal tendencies influencing the investment. Ideally, while 20 years is preferred, at least 10 years of data is required to perform a seasonal analysis that is considered to be reliable for future seasonal periods.

Snowflake, Inc. engages in the provision of cloud data warehousing software. The firm offers Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break down data silos and derive value from data. Its platform supports a range of use cases including data warehousing, data lakes, data engineering, data science, data application development, and data sharing. The cloud-native architecture consists of layers across storage, compute, and cloud services. The storage layer ingests structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to access common data sets for many use cases without latency. The cloud services layer optimizes each use case’s performance requirements with no administration. The company was founded by Marcin Zukowski, Thierry Cruanes, and Benoit Dageville on July 23, 2012 and is headquartered in Bozeman, MT.

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Stocks mentioned in this post: SNOW