Equity Clock

Arithmetic Average Seasonal Chart

Geometric Average Seasonal Chart

APPN Relative to the S&P 500

APPN 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 Appian Corp (NASD:APPN) seasonal charts above shows that a Buy Date of May 3 and a Sell Date of July 26 has resulted in a geometric average return of 9.29% above the benchmark rate of the S&P 500 Total Return Index over the past 7 years. This seasonal timeframe has shown positive results compared to the benchmark in 7 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 7 years by an average of 22.19% per year.

The seasonal timeframe correlates Poorly 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 7 years of data is available for shares of APPN, 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.

Appian is a low-code enterprise platform-as-a-service company focusing on business process management. The Appian platform is an integrated automation platform providing tools for organizations to design, automate, and optimize end-to-end processes and complex business operations. Capabilities include case management, robotic process automation, artificial intelligence, data fabric, and process mining. Most of Appian’s revenue is subscription based with the remainder from services, with much of its subscription revenue being derived from its cloud-based platform, Appian Cloud.

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Stocks mentioned in this post: APPN