Analysts’ Recent Ratings Changes for Appian (APPN)

Several analysts have recently updated their ratings and price targets for Appian (NASDAQ: APPN):

• 8/7/2026 – Appian had its price target raised by DA Davidson from $22.00 to $34.00. They now have a “neutral” rating on the stock.
• 8/7/2026 – Appian had its price target raised by Citigroup Inc. from $37.00 to $40.00. They now have a “buy” rating on the stock.
• 8/7/2026 – Appian had its price target raised by Morgan Stanley from $25.00 to $32.00. They now have an “equal weight” rating on the stock.
• 8/7/2026 – Appian was upgraded by Zacks Research from “hold” to “strong-buy”.
• 8/6/2026 – Appian was upgraded by Weiss Ratings from “sell (d)” to “sell (d+)”.

Insiders Place Their Bets

In other Appian news, CEO Matthew W. Calkins sold 50,000 shares of the company’s stock in a transaction dated Tuesday, July 7th. The shares were sold at an average price of $24.72, for a total value of $1,236,000.00. Following the transaction, the chief executive officer directly owned 1,719,144 shares in the company, valued at approximately $42,497,239.68. This represents a 2.83% decrease in their position. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Insiders own 42.81% of the company’s stock.

Appian Corporation is a global technology company specializing in low-code automation platforms designed to streamline business processes. Founded in 1999 by Matt Calkins, the company provides an integrated suite of tools that enables organizations to build enterprise applications and workflows rapidly with minimal hand coding. The platform combines process management, robotic process automation (RPA), artificial intelligence (AI) capabilities and data integration into a single environment, allowing businesses to accelerate digital transformation initiatives.

The core offering, the Appian Low-Code Platform, empowers users—ranging from professional developers to business analysts—to visually model, design and deploy applications that can automate complex operations, orchestrate tasks across systems, and deliver real-time analytics.