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- A Full Analysis of On Semi ($ON)
A Full Analysis of On Semi ($ON)
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Hi everyone,
If you've been watching the semiconductor space at all this year, ON Semiconductor (now branded "onsemi") has been impossible to ignore. The stock is up roughly 143% over the past 12 months, hit a fresh 52-week high of $105.90 this week, and just printed a Q1 that management is calling a "clear inflection point." Auto is finally growing again. AI data center revenue is doubling. Gross margins are climbing for the third quarter in a row. And on top of all that, they just dropped a $1.3B convertible note offering this week to fund buybacks.
Let’s dive into On Semiconductor Corp (ticker ON).
Stock Deep Dive: ON Semiconductor Corp. (ON-US, $39B MCAP)
onsemi is the second-largest power semiconductor company in the world and the largest supplier of automotive image sensors. Headquartered in Scottsdale, AZ and led by CEO Hassane El-Khoury since 2020, the company has been radically restructured over the past five years from a broad-line commodity chipmaker into a focused "intelligent power and sensing" pure-play. The strategy: dominate two structural growth markets (electric vehicle drivetrains and AI data center power) using a portfolio anchored in silicon carbide (SiC), gallium nitride (GaN), and a new analog/mixed-signal platform called Treo.
The setup heading into this year was that auto inventory was bloated, EVs were "slowing," and the cycle felt stuck. That story has flipped. Q1 2026 revenue came in at $1.51B with non-GAAP EPS of $0.64, both above guidance. AI data center revenue grew over 30% sequentially, automotive grew year over year for the first time in seven quarters, and management raised the bar on full-year guidance. Gross margins hit 38.5% and are projected to expand sequentially through 2026 as utilization climbs and "FabRight" cost actions land.
The longer-term pitch is even more aggressive: management is targeting 53% gross margins, 40% operating margins, and 10-12% revenue CAGR against a $64B addressable market by 2029. Whether they hit those numbers is another conversation, but the direction of travel is now clearly positive after a brutal 18-month cycle, and the stock is reflecting that.
Why Now? 👉 A Cyclical Trough With Structural Optionality
Integrating with AI Infrastructure 👉 Power Is Becoming the Hidden Compute Layer
Overview 👉 What Does onsemi Do?
Role in Ecosystem 👉 How ON Fits Into EVs, Industrial Automation, and AI Data Centers
How Do They Win? 👉 Value Proposition
Business Units 👉 Segment Breakdown
How Do They Make Money? 👉 Revenue Model
Bonus Section 👉 The Manufacturing Reset Is the Swing Factor
By The Numbers 👉 Key Metrics
Competition and Outlook 👉 A Better Business in a Tougher Field
Risks 👉 Potential Pitfalls
Wrapping Up…
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Why Now? 👉 A Cyclical Trough With Structural Optionality
ON Semiconductor, better known as onsemi, is relevant again because the market is beginning to look past the 2025 auto and industrial semiconductor reset. The company sits at the intersection of EV power, industrial energy efficiency, advanced sensing, and AI data center power management. That mix gives it exposure to several long-duration themes, even though its near-term earnings are still tied to cyclical demand.
As of May 8, 2026, ON trades around $102.85 with a market capitalization near $40B. The stock has already recovered sharply, which means this is no longer a deep-value trough story. Investors are now paying for a cleaner recovery, better margins, and the possibility that AI data center power becomes a more important contributor.
The latest numbers support the improving setup. Q1 2026 revenue was $1.51B, up 5% year-over-year, with non-GAAP gross margin of 38.5%, non-GAAP operating margin of 19.1%, and non-GAAP EPS of $0.64. Management guided Q2 revenue to $1.54B to $1.64B, suggesting the business is moving through the bottom. The most interesting detail was that AI data center revenue more than doubled year-over-year, driven by broader adoption across the power tree.
The key question is whether ON is simply an auto semi recovery trade, or whether it is becoming a broader power semiconductor platform for electrification, industrial automation, and AI infrastructure.
Integrating with AI Infrastructure 👉 Power Is Becoming the Hidden Compute Layer
Source: Company Filings
The AI infrastructure discussion usually focuses on GPUs, HBM, networking, and optics. Yet every AI rack is also a power conversion problem. Electricity has to move from the grid into the data center, through power distribution systems, into server power supplies, and then down into processors, memory, networking, and storage. Every efficiency loss becomes heat, cooling cost, or wasted capacity.
This is where ON’s story has improved. The company’s intelligent power portfolio helps convert, regulate, and manage electricity across increasingly dense systems. Management has specifically highlighted AI data centers as a growth area, with products used across the power tree. ON also acquired Qorvo’s silicon carbide JFET technology business in 2025, adding capabilities aimed at high-efficiency AC-DC power supply units for AI data centers.
This AI exposure should be sized properly. ON is not Nvidia, and it will not capture the economics of the compute layer. The more reasonable view is that AI adds a second recovery channel beside autos and industrials. If AI power continues to grow from a small base while EV and industrial demand stabilize, ON’s earnings recovery can become more durable than the market expected a year ago.
Overview 👉 What Does onsemi Do?
onsemi sells intelligent power and intelligent sensing chips. Its products help systems convert power, improve efficiency, reduce heat, monitor environments, and automate decisions. The company’s portfolio includes silicon carbide, MOSFETs, IGBTs, power modules, gate drivers, analog chips, mixed-signal products, CMOS image sensors, image processors, short-wave infrared sensors, and photon-counting technologies.
In EVs, ON’s chips help manage high-voltage power between the battery, inverter, motor, charger, and vehicle electronics. In industrial systems, they support motor drives, automation, robotics, machine vision, smart buildings, and energy infrastructure. In AI data centers, they help improve power conversion efficiency inside increasingly power-dense server architectures.