Technology
Live Price
Offline$7.00
+0.57% today
1Y Change
-27.46%
Window
Jun 25, 2025 โ Jun 16, 2026
Coverage: 245 bars ยท Jun 25, 2025 โ Jun 16, 2026
Research Briefing
A compact read on the setup, peer context, quarterly changes, and recent earnings reaction.
Research Snapshot
Palladyne AI Corp. (PDYN) is a Technology stock with a market cap of $250.00M and listed on NASDAQ. The stock last traded around $7.00 and down 27.5% across the available one-year price window (Jun 25, 2025 โ Jun 16, 2026). Baseline metrics include revenue growth of -32.6%, EPS growth of +109.4%, a dividend yield of 0.0%. What stands out right now is revenue -32.6%, EPS +109.4%, free cash flow -23.8% with operating margin -617.7% and ROIC -35.6%. Valuation already assumes a fairly strong business story at P/E 26.7 and price/sales 47.0. Overall, the current profile looks closer to a turnaround or cyclical reset than a generic broad-market placeholder. Stock Foundry combines PDYN price history, valuation, growth, dividend context, earnings, analyst forecasts, news, related Technology peers on this page.
Sector Context
How this name stacks up against nearby peers on first-pass metrics.
Revenue Growth
Below sector median
-32.6% vs +11.9% peer median
Operating Margin
Below sector median
-617.7% vs +22.0% peer median
P/E
Above sector median
26.7 vs 18.5 peer median
What Changed This Quarter
Latest report context and the signals most likely to have changed the story.
Latest report is on the board
2026 was reported on May 6, 2026, but the surprise data is still limited.
The operating picture looks softer than before
Revenue is at -32.6% and EPS is at +109.4%, with operating margin around -617.7%.
Earnings Reaction Memory
How the stock has tended to move after recent reports.
Across the last 3 reported quarters, the stock averaged -15.7% over the next 5 trading days and finished higher after 1 of those reports.
| Quarter | EPS ฮ | 1D | 5D | 20D |
|---|---|---|---|---|
2026 May 6, 2026 | โ | -4.8% | +2.9% | +26.3% |
2026 Mar 5, 2026 | -77.8% | -14.4% | -29.1% | -34.9% |
2025 Nov 12, 2025 | +50.0% | -8.3% | -21.0% | -22.7% |
Benchmark Edge
Normalized return, excess return, max drawdown, and calendar-year wins against the benchmarks investors actually use.
PDYN
โ
Normalized return
SPY
--
S&P 500
Excess Return
--
Relative to SPY
PDYN Max Drawdown
-67.27%
Trailing 1Y
SPY Max Drawdown
โ
Trailing 1Y
Uses the longest available daily history for PDYN and SPY.

Company Overview
Palladyne AI Corp.
NASDAQ Global Market
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) Foundational Technology enables robots to observe, learn, reason, and act in structured and unstructured environments. In addition, the company's technologies enable 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, training, or the latency associated with processing in the cloud. Further, it offers Palladyne IQ used with industrial robots and cobots, enabling them to learn multiple tasks and handle disruptions or obstacles; and develops Palladyne Pilot for use with unmanned platform, such as Class 1 UAVs to enable persistent detection, identification, tracking, and classification of objects of interest by sharing situational awareness information across multiple drones that is derived by fusing multi-modal sensor data. It serves industrial manufacturing, defense, infrastructure maintenance, repair and surveillance, energy, and aerospace and aviation industries. The company was formerly known as Sarcos Technology and Robotics Corporation and changed its name to Palladyne AI Corp. in March 2024. Palladyne AI Corp. is headquartered in Salt Lake City, Utah.
Valuation, growth, profitability, and balance sheet signals.
Company announcements and filings-style updates.
Next Step
After the overview, the strongest next step is usually chart context or a tighter compare set.