Palladyne AI Q3 Earnings Call Highlights

Key Points

• Revenue surged: Palladyne AI reported Q3 revenue of $8.6 million, up from $900,000 a year earlier, and raised the low end of its 2026 revenue outlook to $25 million. Gross margin improved to 44%, but its GAAP net loss widened to $12 million.
• Defense prospects remain uncertain: SwarmOS earned top ratings across nine Army criteria, and quarter-end backlog was $18.7 million, with most expected to convert over 12–18 months. However, federal budget uncertainty may delay awards, and the company has not secured large SwarmOS procurement contracts.
• Cash and commercial outlook: Palladyne ended the quarter with $47 million in cash and no long-term debt, but expects 2026 operating cash burn at or slightly above its $32 million–$36 million guidance range. Its FANUC partnership is introducing Palladyne IQ to potential industrial customers, though those opportunities have not yet generated revenue.

Palladyne AI NASDAQ: PDYN raised the low end of its 2026 revenue guidance after reporting record third-quarter sales, but executives cautioned that defense budget uncertainty could affect the timing of contracts and future orders.

The company reported revenue of $8.6 million for the quarter ended September 30, up from $900,000 a year earlier and 48% above the second quarter. It now expects full-year revenue of $25 million to $27 million, compared with the previously stated upper end of $27 million.

President and CEO Ben Wolff said the quarter benefited from growing components sales, including the first deliveries of the company’s BRAIN FC-1 flight computer, and an increase in government contract revenue. Components revenue rose 26% from the second quarter, while government contract revenue increased 135%, he said.

Loss Widens as Revenue and Margins Improve

Third-quarter revenue included $3.4 million from products, $2.4 million from engineering services and $2.8 million from AI product development contracts, CFO Trevor Thatcher said. Gross margin improved to 44% from 29% in the second quarter.

The company reported a GAAP net loss of $12 million, or $0.25 per diluted share, compared with a loss of $3.7 million, or $0.09 per diluted share, a year earlier. Its operating loss widened to $13.4 million from $8.1 million.

General and administrative expense rose to $10.1 million from $4.1 million, driven partly by higher stock-based compensation and additional headcount, Thatcher said. Non-GAAP net loss was $8.2 million, or $0.17 per diluted share, compared with $6.4 million, or $0.16 per diluted share, a year earlier.

Palladyne ended the quarter with $47 million in cash, equivalents and marketable securities and no long-term debt. Its operating cash burn, which it defines as cash used in operations plus capital expenditures, was $8.7 million for the quarter.

Thatcher said the company received approximately $11.7 million in net proceeds from its at-the-market equity program during the quarter. About $12.6 million remained available under the program as of September 30.

Defense Demonstrations and Backlog

Wolff said the company’s SwarmOS software received the highest possible ratings across nine Army performance criteria during the Project Convergence Capstone 6 exercise. He said the software enabled a single soldier with minimal training to task and manage multiple drones from different manufacturers.

He described the company’s progression from unpaid demonstrations to paid field exercises as a step toward potential procurement, while cautioning that he could not predict when or how much procurement might occur.

In response to an analyst’s question, Wolff said Palladyne is targeting SwarmOS pricing at 10% of a drone’s cost. He said the company had not encountered resistance to that approach from direct end users, but added that it had not yet secured large contracts to purchase the software.

Backlog stood at $18.7 million at quarter-end, down 24% from the prior quarter but up 35% from year-end. Of the total, $15.3 million was funded. Palladyne recognized $8.6 million of revenue during the quarter and signed approximately $2.7 million in net new contracts. Thatcher said the company continues to expect a majority of its current backlog to convert to revenue over the next 12 to 18 months.

Wolff said uncertainty over the federal defense budget could delay contract awards. Funding the company had been promised but had not yet contracted was diverted during the quarter, modestly affecting its results, he said. He also said the timing of a significant increase in demand for BRAIN FC-1 was uncertain because customers must secure their own government contracts.

Commercial Partnership and Cash Outlook

On the commercial side, Palladyne is working with industrial automation company FANUC to bring its Palladyne IQ software to manufacturers. Wolff said the collaboration had introduced the software to potential customers working on tasks including weld grinding, seam sealing and offline programming of welding robots.

None of the opportunities he described had generated revenue yet, and sales cycles with large companies can be long, Wolff said. In the question-and-answer session, he said he was optimistic about the FANUC relationship in 2027, in part because commercial customers can make decisions without waiting for a federal budget.

For 2026, Palladyne expects operating cash burn to be at or slightly above the high end of its $32 million to $36 million guidance range. Burn totaled $30 million in the first nine months. Thatcher said the company expects fourth-quarter burn to be below its year-to-date quarterly average as revenue and gross margins improve compared with the first half.

About Palladyne AI (NASDAQ:PDYN)

Palladyne AI Corp. develops artificial intelligence software designed to help robots perceive their surroundings, learn from experience and perform complex physical tasks with greater autonomy. Its technology is intended to enable robots to operate in dynamic, unstructured environments while reducing the need for detailed task-by-task programming. The company's software platform, Palladyne IQ, uses machine learning, computer vision and related AI capabilities to support robotic perception, decision-making and control.

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