Super Micro Computer Stock Earnings Reports

Super Micro (SMCI) reported Q1 FY2026 revenue of $5.0B (down 15% YoY, 13% QoQ) and disclosed record new orders exceeding $13B, driven largely by NVIDIA Blackwell (GB300/B300) and other AI GPU platforms (75%+ of Q1 revenue). Management said ~$1.5B of revenue shifted from Q1 into Q2 due to last-minute customer configuration upgrades and complex integration/testing for new GPU racks. They expect production to ramp quickly and guided Q2 revenue of $10.0B–$11.0B (management repeatedly cited a $10.5B midpoint target for the December quarter) and raised FY2026 revenue guidance to at least $36B (previously at least $33B). Gross margin was 9.5% in Q1 and management expects gross margins to decline about 300 basis points in Q2 as they ramp a mega-scale GB300 rack program and invest in customer engineering/support; they view this as temporary and expect margins to improve later as DCBBS (Data Center Building Block Solution) and scale benefits kick in. DCBBS is a strategic priority—management says it is shipping initial orders, will expand the product portfolio and believes DCBBS can command higher margins (>20% industry expectation) over time. Capex was modest in Q1 ($32M) but Q2 capex is guided to $60M–$80M. Cash at quarter end was $4.2B vs. total debt $4.8B (net debt ~$575M); operating cash flow was negative ~$918M for the quarter and inventory rose to $5.7B as they prepared for higher Q2 shipments. Management executed a $1.8B receivables facility to provide working capital flexibility and said additional programs are available as needed. They reiterated global capacity expansion (U.S., Taiwan, Malaysia, Netherlands, Middle East) and stated an ability to scale to thousands of racks/month (6,000 racks/month target including 3,000 DLC racks). Near-term margin pressure may result from large strategic design wins and ramp costs, but management expects long-term margin improvement from DCBBS, manufacturing scale, and customer diversification. Key risks highlighted include customer readiness/timing, supply and production constraints, higher working capital needs while scaling, and competitive intensity.