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

Palladyne AI (NASDAQ:PDYN) posted its quarterly earnings data on Thursday. The company reported ($0.16) earnings per share for the quarter, topping the consensus estimate of ($0.18) by $0.02, FiscalAI reports. The business had revenue of $1.66 million during the quarter, compared to analysts’ expectations 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 Price Performance

Shares of Palladyne AI stock traded up $2.49 during trading on Thursday, hitting $9.92. 40,218,382 shares of the company’s stock traded hands, compared to its average volume of 5,070,089. The company has a market cap of $417.01 million, a PE ratio of -5.87 and a beta of 3.78. The firm’s fifty day moving average price is $6.44 and its 200 day moving average price is $6.90. Palladyne AI has a twelve month low of $4.14 and a twelve month high of $13.00.

Institutional Investors Weigh In On Palladyne AI

Institutional investors have recently added to or reduced their stakes in the stock. Quarry LP bought a new position in shares of Palladyne AI in the third quarter valued at about $28,000. Boothbay Fund Management LLC acquired a new position in shares of Palladyne AI during the fourth quarter worth approximately $44,000. Osaic Holdings Inc. grew its stake in shares of Palladyne AI by 94.3% during the second quarter. Osaic Holdings Inc. now owns 5,098 shares of the company’s stock valued at $44,000 after purchasing an additional 2,474 shares during the last quarter. Atom Investors LP acquired a new stake in shares of Palladyne AI in the fourth quarter valued at approximately $56,000. Finally, Russell Investments Group Ltd. acquired a new stake in shares of Palladyne AI in the third quarter valued at approximately $61,000. 26.02% of the stock is owned by institutional investors and hedge funds.

Analyst Upgrades and Downgrades

Several research firms recently commented on PDYN. Wall Street Zen upgraded shares of Palladyne AI from a “sell” rating to a “hold” rating in a research note on Saturday, November 15th. Weiss Ratings restated a “sell (d-)” rating on shares of Palladyne AI in a research report on Monday, December 29th. One analyst has rated the stock with a Hold rating and one has assigned a Sell rating to the stock. Based on data from MarketBeat.com, the stock has a consensus rating of “Reduce” and a consensus price target 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.