Monolithic Power Systems

Monolithic Power Systems reported Q2 FY2026. EPS came in at $6.50 against a $5.87 consensus, beat by 10.7%. Revenue was $980.6M versus $903.3M expected, beat by 8.6%. Gross margin was 55.2%, down 10 bps from last quarter.

Monolithic Power Systems reported a record Q1 FY2026 revenue of $804.2 million, beating street estimates by 2.8%, and EPS of $5.10, surpassing estimates by 4.1%. The company's strong performance is driven by continued growth in key end markets and strategic capacity expansion.

Monolithic Power Systems cleared a low-drama quarter, but the actionable issue is that management raised the enterprise-data ambition while still holding gross margin near 55%. The market may be underpricing the capacity constraint, not the demand signal: $751.2 million of Q4 revenue and a 55.2% gross margin say the model is scaling, while “more than $4 billion” of secured capacity now becomes the gating variable for whether the next leg is upside or digestion.

Monolithic Power Systems printed a modest headline beat, but the variant view is that investors are still treating the AI power cycle as a near-term revenue question when management is describing a capacity-constrained product-cycle business with margins deliberately held in the mid-55% range. The mispricing is not the +2.0% revenue surprise; it is the durability of enterprise data content ramps when visibility remains only “3 to 4 months” and yet management is already pointing to “multiple million units a month” capacity ambitions.

Monolithic Power Systems did not deliver a large headline beat, with revenue only +1.9% above Street and EPS +2.2%, but the print matters because management put a 20% to 30% sequential enterprise-data step-up into the next quarter while refusing to let Q4 be modeled down. The market may be treating this as another AI power-delivery beat; the variant view is that MPWR is showing a broader capacity-backed revenue runway, with the main risk shifting from demand validation to customer concentration and timing around a $4 billion enterprise-data SAM.