Super Micro Computer announced on June 9, 2026 that it would raise $7.0 billion through concurrent equity and equity-linked offerings: approximately $1.25 billion of common stock, $3.75 billion of Series A mandatory convertible preferred depositary shares at 7.0% annual coupon, and up to $2.0 billion via at-the-market offering starting Q3 2026. The preferred shares, with a liquidation preference of $1,000 per share, will automatically convert to common stock by June 1, 2029 based on stock price performance. Proceeds are designated to fund component purchases for approximately $39 billion in AI server orders received from more than 20 customers in recent weeks.
The massive backlog underscores the working-capital intensity of AI infrastructure: Supermicro must secure components well in advance of revenue recognition. In fiscal Q3 2026, cash used in operations reached $6.6 billion despite net sales of $10.2 billion, reflecting the lag between component procurement and customer payment. Total debt and convertible notes stood at $8.8 billion, signaling substantial leverage the company is carrying to support growth. CEO Charles Liang noted on the May earnings call that memory costs have tripled in recent months, highlighting the capital-intensive nature of the backlog.
The market reacted sharply: SMCI stock fell 13% on June 10 following the announcement, as investors weighed the competitive upside of a $39B order pipeline against near-term equity dilution and the risk that orders are not firm contractual commitments. The stock tumbled from $40.64 on June 9 to $29.50 by June 10, though it recovered partially by June 18 to $30.66 as options markets showed optimism on upside potential.
For practitioners tracking AI infrastructure supply and capital efficiency, Supermicro's financing is a signal that AI-server demand has outpaced internal cash generation even for scale suppliers. The company is now capital-constrained, not demand-constrained. The 7% preferred coupon and 2029 conversion date lock in future shareholder dilution at a time when AI infrastructure ROI remains uncertain. Competing suppliers Dell and HPE face similar working-capital pressure, amplifying competitive intensity in the AI-server market as capital becomes scarce.