Chipmaker expects earnings and revenue to surpass estimates as semiconductor demand rebounds across key sectors.
Microchip Technology has issued an upbeat revenue forecast for its upcoming first quarter, citing improving demand across industrial and automotive markets alongside growing momentum from artificial intelligence infrastructure.
The Arizona-based semiconductor company expects first-quarter revenue to range between $1.44 billion and $1.47 billion, exceeding analysts’ consensus estimate of $1.34 billion. The company also projected adjusted earnings per share between 67 cents and 71 cents, ahead of market expectations of 59 cents.
Following the announcement, Microchip’s shares rose more than 2% in after-hours trading.
The company’s outlook reflects a recovery cycle in key end markets, particularly industrial automation and automotive electronics, which had previously experienced inventory corrections. Rising investments in AI data centres are also contributing to stronger semiconductor demand, especially for high-performance connectivity and computing solutions.
Chief Operating Officer Rich Simoncic said customer engagement remains strong, with increasing design activity tied to data centre expansion and artificial intelligence applications. He noted that demand is being supported by Microchip’s portfolio of high-speed connectivity and processing technologies.
In addition to commercial markets, the company continues to benefit from steady spending in aerospace and defence sectors, where geopolitical uncertainties and higher government budgets are driving sustained technology investments.
Industry trends appear broadly positive, with peer semiconductor company Onsemi also recently forecasting higher-than-expected revenue as automotive semiconductor demand rebounds.
For the fourth quarter, Microchip reported revenue of $1.31 billion, surpassing analyst estimates of $1.26 billion. Adjusted earnings reached 57 cents per share, compared with expectations of 51 cents.
The latest forecast signals continued recovery in semiconductor demand, supported by automotive electrification, industrial modernization and accelerating AI infrastructure deployment.
