Palladyne AI (NASDAQ:PDYN) CTO Sells $105,460.64 in Stock

Posted by Brenda Bartman on May 24th, 2026

Palladyne AI Corp. (NASDAQ:PDYN – Get Free Report) CTO Denis Garagic sold 17,176 shares of the business’s stock in a transaction dated Thursday, May 21st. The stock was sold at an average price of $6.14, for a total value of $105,460.64. Following the transaction, the chief technology officer owned 559,959 shares in the company, valued at approximately $3,438,148.26. This represents a 2.98% decrease in their position. The sale was disclosed in a filing with the Securities & Exchange Commission, which can be accessed through this link.

Denis Garagic also recently made the following trade(s):

On Thursday, March 12th, Denis Garagic sold 12,945 shares of Palladyne AI stock. The stock was sold at an average price of $7.55, for a total value of $97,734.75.

Palladyne AI Price Performance

Shares of PDYN opened at $6.40 on Friday. The stock’s 50-day moving average is $6.39 and its two-hundred day moving average is $6.27. The stock has a market cap of $297.54 million, a PE ratio of -10.49 and a beta of 3.52. Palladyne AI Corp. has a 12 month low of $4.14 and a 12 month high of $13.00.

Palladyne AI (NASDAQ:PDYN – Get Free Report) last issued its quarterly earnings data on Tuesday, May 5th. The company reported ($0.28) EPS for the quarter, missing analysts’ consensus estimates of ($0.16) by ($0.12). Palladyne AI had a negative return on equity of 49.17% and a negative net margin of 358.04%.The company had revenue of $3.54 million for the quarter, compared to analyst estimates of $4.93 million. On average, research analysts anticipate that Palladyne AI Corp. will post -0.87 earnings per share for the current year.

Analysts Set New Price Targets

A number of analysts have recently issued reports on PDYN shares. Zacks Research raised Palladyne AI to a “hold” rating in a research report on Wednesday, April 8th. Weiss Ratings lowered Palladyne AI from a “hold (c-)” rating to a “sell (d-)” rating in a research report on Wednesday, May 6th. Jefferies Financial Group reaffirmed a “hold” rating and set a $7.00 target price on shares of Palladyne AI in a research report on Wednesday, May 6th. Alliance Global Partners reaffirmed a “buy” rating on shares of Palladyne AI in a research report on Tuesday, May 5th. Finally, Wall Street Zen lowered Palladyne AI from a “hold” rating to a “sell” rating in a research report on Saturday, March 7th. Three analysts have rated the stock with a Buy rating, two have assigned a Hold rating and one has issued a Sell rating to the company. According to MarketBeat.com, Palladyne AI currently has an average rating of “Hold” and an average target price of $9.33.

Read Our Latest Research Report on PDYN

Institutional Trading of Palladyne AI

Hedge funds and other institutional investors have recently bought and sold shares of the company. United Capital Management of KS Inc. bought a new stake in Palladyne AI in the third quarter valued at about $441,000. Quantbot Technologies LP bought a new stake in Palladyne AI in the third quarter valued at about $597,000. Aristides Capital LLC bought a new stake in Palladyne AI in the fourth quarter valued at about $99,000. Themes Management Co LLC bought a new stake in Palladyne AI in the fourth quarter valued at about $253,000. Finally, Covestor Ltd increased its holdings in Palladyne AI by 482.2% in the fourth quarter. Covestor Ltd now owns 127,345 shares of the company’s stock valued at $542,000 after buying an additional 105,471 shares during the last quarter. 26.02% of the stock is owned by institutional investors.

Palladyne AI Company Profile

(Get Free Report)

Palladyne AI Corp., a software company, focuses on delivering software that enhances the utility and functionality of third-party stationary and mobile robotic systems in the United States. Its Artificial Intelligence (AI)/ Machine Learning (ML) software platform enables robots to observe, learn, reason, and act in structured and unstructured environments. The company's software platform enables robotic systems to perceive their environment and quickly adapt to changing circumstances by generalizing from their experience using dynamic real-time operations without extensive programming and with minimal robot training.