Palladyne AI Corp. (NASDAQ:PDYN – Get Free Report) has been given a consensus recommendation of “Hold” by the six brokerages that are currently covering the company, MarketBeat.com reports. One analyst has rated the stock with a sell rating, two have given a hold rating and three have assigned a buy rating to the company. The average 1-year target price among brokers that have issued ratings on the stock in the last year is $11.00.
Several equities research analysts have weighed in on the company. Jefferies Financial Group raised Palladyne AI to a “hold” rating in a report on Wednesday, June 10th. Lake Street Capital assumed coverage on Palladyne AI in a report on Friday, April 17th. They issued a “buy” rating and a $11.00 price target for the company. Weiss Ratings downgraded Palladyne AI from a “hold (c-)” rating to a “sell (d-)” rating in a report on Wednesday, May 6th. Alliance Global Partners reissued a “buy” rating on shares of Palladyne AI in a report on Tuesday, May 5th. Finally, Northland Securities set a $15.00 price target on Palladyne AI in a report on Monday, June 8th.
View Our Latest Stock Report on Palladyne AI
Insiders Place Their Bets
Institutional Investors Weigh In On Palladyne AI
Several institutional investors have recently added to or reduced their stakes in the business. Vanguard Group Inc. raised its stake in shares of Palladyne AI by 26.0% in the third quarter. Vanguard Group Inc. now owns 1,528,052 shares of the company’s stock worth $13,126,000 after purchasing an additional 315,660 shares during the last quarter. Geode Capital Management LLC raised its stake in shares of Palladyne AI by 12.5% in the fourth quarter. Geode Capital Management LLC now owns 721,997 shares of the company’s stock worth $3,077,000 after purchasing an additional 80,075 shares during the last quarter. State Street Corp raised its stake in shares of Palladyne AI by 24.4% in the fourth quarter. State Street Corp now owns 588,570 shares of the company’s stock worth $2,507,000 after purchasing an additional 115,409 shares during the last quarter. Millennium Management LLC raised its stake in shares of Palladyne AI by 767.3% in the third quarter. Millennium Management LLC now owns 565,693 shares of the company’s stock worth $4,859,000 after purchasing an additional 500,472 shares during the last quarter. Finally, Raymond James Financial Inc. raised its stake in shares of Palladyne AI by 96.5% in the third quarter. Raymond James Financial Inc. now owns 412,586 shares of the company’s stock worth $3,544,000 after purchasing an additional 202,571 shares during the last quarter. Institutional investors and hedge funds own 26.02% of the company’s stock.
Palladyne AI Price Performance
PDYN opened at $6.08 on Wednesday. The business’s 50-day moving average is $6.66 and its two-hundred day moving average is $6.45. Palladyne AI has a 1 year low of $4.14 and a 1 year high of $13.00. The firm has a market capitalization of $282.66 million, a PE ratio of -9.97 and a beta of 3.59.
Palladyne AI (NASDAQ:PDYN – Get Free Report) last posted its earnings results on Tuesday, May 5th. The company reported ($0.28) earnings per share (EPS) for the quarter, missing the consensus estimate of ($0.16) by ($0.12). Palladyne AI had a negative net margin of 358.04% and a negative return on equity of 49.17%. The company had revenue of $3.54 million during the quarter, compared to analysts’ expectations of $4.93 million. As a group, sell-side analysts expect that Palladyne AI will post -0.91 EPS for the current year.
Palladyne AI Company Profile
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.
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