Laura Oliphant, a director on the board of Aehr Test Systems (NASDAQ: AEHR), sold 4,665 shares of the company's common stock on April 16, 2026, at $85.5879 per share, for a total consideration of $399,267. The disposition was executed through a trust and follows a period of pronounced share-price appreciation for the company.
Following the sale, Oliphant holds 18,432 shares in total, a figure that the company reports includes unvested restricted stock units. At the time of the transaction the stock had recorded an 891% gain over the past year, though the share price later traded at $80.85, which is below Oliphant's transaction price.
Market-value and earnings context cited in market analysis note that Aehr carries a market capitalization of $2.55 billion while reporting negative earnings of $0.38 per share on a trailing basis. InvestingPro analysis referenced in company coverage flags the stock as appearing overvalued relative to its Fair Value.
In a separate operational update, Aehr Test Systems disclosed it received a record $41 million production order from a hyperscale customer. The order, described as the largest in the company’s history, is for package-level burn-in of custom AI processor ASICs and includes Sonoma high-power package-level test and burn-in systems, burn-in modules, and device-specific sockets. Deliveries tied to this production order are scheduled to begin in the company’s fiscal 2027.
Financial results for Q3 2026 were mixed. Aehr reported earnings per share of -$0.05, which was better than the consensus forecast of -$0.07, yet revenue for the quarter was $10.3 million, missing the $10.8 million estimate.
Analysts responded to the combination of bookings and results with price-target adjustments while maintaining their respective ratings. Freedom Broker raised its price target to $61 from $38 and kept a Hold rating. Lake Street increased its target to $56 from $50 and maintained a Buy rating. Both firms cited strong bookings momentum as a rationale for their actions; Aehr reported $37.2 million in quarterly bookings and an effective backlog that exceeds $50 million.
These developments - a sizable hyperscale production order, elevated bookings and backlog, and a quarter that beat on EPS but missed revenue - were highlighted by analysts in their revisions and commentary. The company’s disclosed metrics reflect ongoing engagement with a hyperscale AI customer and a concentration of demand in package-level burn-in systems for custom AI ASICs.