Allegro MicroSystems has projected sales between $265 million and $275 million [1] for the second quarter of fiscal year 2027.
This outlook reflects the company's strategic shift toward high-growth infrastructure sectors. As artificial intelligence and cloud computing expand, the demand for specialized semiconductor solutions in data centers and electrified vehicles is becoming a primary driver of corporate revenue.
Along with the sales forecast, the company outlined an earnings per share (EPS) projection of $0.23 to $0.26 [1] for the same period. This guidance follows a trend of strong performance in the xEV and data center markets, which have helped the company beat previous earnings and revenue estimates.
The most significant growth area remains the data center sector. Allegro MicroSystems expects its sales in this category to more than double [1] during fiscal year 2027. This surge indicates a scaling of production to meet the needs of large-scale computing facilities.
Seeking Alpha said the company also provided guidance for Q3 margins and EPS. The current trajectory is supported by strength in both the data center and xEV markets, suggesting a diversified growth strategy across industrial, and automotive technology.
While the company continues to navigate the broader semiconductor landscape, the focus on high-efficiency power and sensing solutions for data centers remains the central pillar of its 2027 financial strategy. The projected numbers highlight a transition toward more aggressive scaling in the enterprise hardware space.
“Allegro MicroSystems expects its sales in this category to more than double during fiscal year 2027.”
The projection that data center sales will more than double suggests Allegro MicroSystems is successfully pivoting to capture the infrastructure boom associated with AI and cloud scaling. By balancing this growth with the xEV market, the company is reducing its reliance on any single industrial sector while positioning itself as a critical supplier for the next generation of energy-efficient computing.
