MPWR
Monolithic Power Systems
Summary
What they do:
Designs the voltage regulator chips that sit between the server power supply and the GPU/CPU — the last-mile power conversion that delivers precisely controlled voltages to AI processors. Holds 50%+ market share in AI server voltage regulator modules (VRMs).
Why they matter:
Every AI GPU drawing 700-1,000 watts needs 6-8 voltage regulator modules to convert server-level power into the exact voltages the processor requires with microsecond precision. A voltage droop crashes the chip; a spike damages it. MPS's power management ICs are the non-negotiable bridge between the power supply and the silicon.
Recent performance:
Record FY2025 revenue $2.8B (+26.4% YoY). Q4 revenue $751.2M (+20.8% YoY). Q1 2026 guided $770-790M (above consensus of $732M). Enterprise data segment projected 50%+ growth in 2026. Stock ~$1,468, market cap ~$72B. Dividend raised 28%.
Our Verdict
The voltage regulation monopoly of the AI server — 50%+ VRM market share in AI servers means every GPU shipped by NVIDIA generates pull-through demand for MPS power management ICs, and with enterprise data guiding 50%+ growth in 2026, the structural demand is accelerating faster than the stock price implies.
Structural trends
Structural
65
/ 100
Moat
7/10
Server power king
AI Exp.AI Exposure
High~60% AI
Play Type
ConsensusAI Growth
~50%+
Rel. Value
44
FAIRPriceLIVE
$1,363.42
-0.64%
Live via Yahoo Finance · refreshes every 5 min
Market Cap
$67.0B
P/E Ratio
106.4
P/S Ratio
24.0x
52W High
$1,378.55
52W Low
$496.40
52W Chg
174.7%
Beta
1.48
Inside every AI server sits a hierarchy of power conversion. Utility power enters the data center at high voltage. Transformers step it down. Power distribution units (PDUs) route it to server racks. Power supply units (PSUs) convert AC to DC at the rack level. And then — the last critical step — voltage regulator modules on the server motherboard convert that DC power into the precise voltages each GPU, CPU, and memory chip requires. Monolithic Power Systems designs the chips that perform this last step.
It sounds mundane. It is anything but. An NVIDIA Blackwell GPU draws up to 1,000 watts. That power must be delivered at specific voltages (typically 0.7-1.2V) with tolerances measured in millivolts and response times measured in microseconds. If the voltage regulator can't keep up with the GPU's rapidly shifting power demands — a scenario called "transient voltage droop" — the GPU crashes, corrupting whatever AI training or inference workload it was running. MPS's voltage regulators are engineered to handle these extreme power delivery requirements.
MPS operates through a single reporting segment but serves four end markets: Enterprise Data (data center servers, storage, networking — ~40% of revenue and fastest-growing), Communications (telecom infrastructure — ~15%), Consumer (laptops, gaming, IoT — ~25%), and Automotive (EV power management, ADAS — ~20%, growing 43% in FY2025).
The company is fabless — it designs chips and outsources manufacturing to foundries (primarily TSMC for digital and BCD process). This asset-light model generates gross margins of approximately 55-58% and operating margins approaching 30%. MPS has approximately 4,000 employees, headquartered in Kirkland, Washington (with significant design operations in the US, China, and Taiwan).
FY2025 was transformative: record revenue of $2.8B (+26.4%), driven by Enterprise Data growth as hyperscalers deployed increasingly power-hungry AI GPU servers. Q4 revenue of $751.2M set a quarterly record. Management guided Q1 2026 to $770-790M — well above Wall Street's $732M consensus — and projected the Enterprise Data segment would grow 50%+ in FY2026 as NVIDIA's Blackwell architecture drives even higher VRM content per server. Backlog is extending into Q2-Q3 2026, and channel inventory remains at the low end of the range, leading management to conclude they are "servicing real demand."
The company has a long-term revenue target trajectory of ~$4.8B by 2028 and $6.6B+ by 2030 — implying 20%+ compound annual growth driven by AI server power management intensity and automotive electrification.
Supply Chain Dependencies
Upstream Suppliers
The Catch
MPS is a fabless analog semiconductor company trading at 55x trailing earnings after a 160% one-year stock run. The growth story is heavily concentrated in enterprise data (AI server VRMs), which creates both opportunity and risk — if hyperscaler GPU deployment pace moderates for any reason (supply constraints, capex reduction, demand normalization), MPS's highest-growth segment decelerates first. The double-ordering question is real: when customers extend backlog aggressively in a tight supply environment, actual sell-through may lag bookings, creating an inventory correction risk. And at $72B market cap on $2.8B revenue, the stock requires the $4.8B 2028 and $6.6B 2030 revenue targets to be credible — any downward revision to the long-term growth trajectory would trigger significant multiple compression.
If They Win
If AI GPU power consumption continues increasing with each generation (Hopper → Blackwell → Rubin), VRM content per server compounds from $60-100 to $150-200+, enterprise data sustains 40-50% annual growth through 2028, automotive electrification adds a parallel growth engine growing 30%+, and 800V power architectures open new addressable markets, then MPS becomes the power regulation monopoly of the AI data center — the company whose chips sit on every AI server motherboard worldwide, delivering the precise voltages that make AI compute possible. Revenue compounds to $6.6B+ by 2030 per management's target, margins expand as scale improves, and the current $72B market cap looks reasonable against $2B+ annual earnings power.
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Not financial advice. All scores generated via AI algorithms using public data.