Palladyne AI (NASDAQ:PDYN) Posts Quarterly Earnings Results, Beats Expectations By $0.02 EPS

Palladyne AI (NASDAQ:PDYN) released its quarterly earnings results on Thursday. The company reported ($0.16) EPS for the quarter, topping the consensus estimate of ($0.18) by $0.02, FiscalAI reports. The company had revenue of $1.66 million for the quarter, compared to analyst estimates of $0.81 million. Palladyne AI had a negative return on equity of 133.19% and a negative net margin of 953.45%.

Here are the key takeaways from Palladyne AI’s conference call:

• Management reiterated 2026 revenue guidance of $24M–$27M (about 4–5x 2025) and said backlog rose from ~$13.5M at year-end to nearly $18M YTD, indicating stronger near?term revenue visibility.
• After the November acquisitions of GuideTech, Warnke, and MKR and the launch of Palladyne Defense, the company says it is now a vertically integrated platform with avionics, propulsion, manufacturing and systems capabilities that enable end?to?end defense and commercial offerings.
• Palladyne emphasized its edge?based, biologically inspired AI stack—SwarmOS and IntelliSwarm—and reported demonstrations of true autonomous “wolfpack” swarming with partners (Red Cat, Draganfly), which management positions as a key differentiator for contested environments.
• Financials show mixed execution — Q4 revenue rose to $1.7M (+118% YoY) but operating loss was $9.3M and non?GAAP net loss $6.9M, with cash of ~$47M and an expected 2026 quarterly operating cash burn of $8M–$9M, implying meaningful near?term cash burn and financing risk if growth slows.

Palladyne AI Trading Up 34.1%

Shares of NASDAQ:PDYN traded up $2.53 on Thursday, reaching $9.96. 40,992,934 shares of the company were exchanged, compared to its average volume of 5,090,232. Palladyne AI has a 1-year low of $4.14 and a 1-year high of $13.00. The company has a 50-day moving average of $6.44 and a 200-day moving average of $6.90. The firm has a market cap of $418.69 million, a price-to-earnings ratio of -5.89 and a beta of 3.78.

Institutional Trading of Palladyne AI

Several institutional investors and hedge funds have recently modified their holdings of the business. Goldman Sachs Group Inc. grew its position in shares of Palladyne AI by 507.2% in the first quarter. Goldman Sachs Group Inc. now owns 115,407 shares of the company’s stock valued at $679,000 after purchasing an additional 96,402 shares during the last quarter. Focus Partners Wealth acquired a new stake in shares of Palladyne AI during the 1st quarter worth $138,000. Geode Capital Management LLC raised its position in shares of Palladyne AI by 172.9% in the 2nd quarter. Geode Capital Management LLC now owns 592,640 shares of the company’s stock worth $5,133,000 after buying an additional 375,440 shares during the period. JPMorgan Chase & Co. boosted its holdings in Palladyne AI by 94.3% in the second quarter. JPMorgan Chase & Co. now owns 24,862 shares of the company’s stock valued at $215,000 after acquiring an additional 12,065 shares during the last quarter. Finally, Rhumbline Advisers purchased a new stake in Palladyne AI during the second quarter valued at about $330,000. Hedge funds and other institutional investors own 26.02% of the company’s stock.

Analyst Ratings Changes

A number of research firms have commented on PDYN. Weiss Ratings restated a “sell (d-)” rating on shares of Palladyne AI in a research note on Monday, December 29th. Wall Street Zen raised Palladyne AI from a “sell” rating to a “hold” rating in a report on Saturday, November 15th. One research analyst has rated the stock with a Hold rating and one has assigned a Sell rating to the company. Based on data from MarketBeat, Palladyne AI presently has an average rating of “Reduce” and an average target price of $8.00.

About Palladyne AI

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.