An AI server manufacturer, SUPER MICRO COMPUTER INC (SMCI.US), is set to report its fiscal fourth-quarter earnings for the 2026th fiscal year after the U.S. market closes on Tuesday. This report will not only determine the short-term stock direction of Super Micro Computer but also serve as a key barometer for the sustained health of the AI computing hardware chain. Options market pricing suggests a potential swing of about 13.4% in either direction following the release, with traders piling into record-high bullish bets on an upside while also establishing downside protection at key strike prices.
The core conflict in the earnings report centers on a potential gross margin "blowout" versus a possible revenue "miss." Preliminary results disclosed by Super Micro Computer in late July present a seemingly contradictory data set. On the revenue side, fourth-quarter revenue is expected to land at the low end of the previously provided guidance range of $11 billion to $12.5 billion. Analysts generally anticipate Q4 revenue of $11.56 billion, representing a year-over-year increase of 101%. Over the past five quarters, Super Micro Computer has missed revenue expectations four times. On the profit side, gross margins are expected to be between 15% and 17%, significantly exceeding the previously provided guidance of 8.2% to 8.4%. Analysts expect Q4 earnings per share of $0.96, a year-over-year increase of 134%. Over the past three months, analysts have raised EPS estimates 16 times, with zero downgrades. This combination of low-end revenue and a doubled gross margin points to a single narrative: the supply-demand imbalance for AI computing is reshaping profit distribution across the industry chain.
Wedbush analyst Matt Bryson outlined three core drivers behind this trend. First, supply shortages persisted from June through July for AI motherboards and computing hardware. Second, the scarcity of hardware supply has given Super Micro Computer pricing power in the server assembly segment. Third, structural optimization occurred as delays in some large customer data center projects indirectly boosted the sales mix of higher-margin products.
The options market is pricing in a significant move, with Super Micro Computer shares closing up over 1% on Monday at $31.46. The options chain expiring on August 14 shows that an at-the-money straddle (simultaneously buying a call and put option at the strike price closest to the current stock price) costs approximately $4.31, implying an expected swing of about 13.4% for the stock by Friday's expiration. Based on Monday's closing price, this movement implies a potential drop to $27.89 or a rise to $36.51. Call option concentration is extremely high, indicating substantial upside bets among market participants. The highest open interest is in the $31 call option (24,299 contracts), followed by the $33.5 call option (22,455 contracts). Even the $40 deep out-of-the-money call option has open interest of 13,188 contracts. During Monday's trading session, the $35 call option saw volume exceeding 8,500 contracts, and the $33 call option had volume of over 5,800 contracts. On the put side, traders have established near-term downside protection around the $28 and $30 strike prices. The $28 put option has open interest of 4,772 contracts, the $30 put option has 3,581 contracts, and the $29 put option saw volume exceeding 2,000 contracts, reflecting some traders hedging against potential downside risk.
Wall Street's opinion on Super Micro Computer is notably divided. Among the five analysts tracked by Visible Alpha, only one gives a "Buy" rating, two rate it "Neutral," and two recommend "Sell," with an average price target of around $34. Mizuho's Vijay Rakesh maintains a "Neutral" rating and a $34 price target. Rosenblatt's Kevin Cassidy and Needham's Quinn Bolton each set "Buy" ratings with price targets of $45 and $46, respectively. The consensus rating from 19 analysts tracked by S&P Global is "Hold," with an average price target of $37.81. The highest target is $64, while the lowest is $24.
A key suspense point revolves around the company's ability to convert its $60 billion order backlog. Super Micro Computer added over $60 billion in new orders during Q4, pushing its backlog to a record high. This figure is more than five times the low end of its revenue guidance. However, the company has warned that some orders may not represent firm commitments and are subject to cancellation or delay risk. The delivery timeline and working capital needs are therefore in focus, given that the company burned through $6.6 billion in cash in the third quarter, holds only $1.3 billion in cash on hand, and carries $8.8 billion in debt and convertible notes. Additionally, an independent export control review by the board is ongoing, and management has warned it could impact financial forecasts, preliminary results, and prior period data.
The broader context positions Super Micro Computer's earnings as a litmus test for the AI computing hardware chain. The report is crucial not just as a company-specific performance check but as a gauge of the entire sector's vitality. As a key contract manufacturer for Nvidia servers, its surge in large orders directly reflects the expansion of computing demand from major cloud providers and AI companies. Over the past 12 months, Super Micro Computer's stock has still declined roughly 30%, underperforming peers like Hewlett Packard Enterprise (+160%) and Dell Technologies (+230%). This earnings report will determine whether the stock can stabilize and recover, with investors closely watching actual revenue, the composition of the order backlog, and shipment schedules. Super Micro Computer's Q4 report is a critical test of the profit distribution logic within the AI computing chain. The near-doubling of gross margin guidance, coupled with the warning of revenue landing at the low end, signals a common theme: amid the AI hardware supply shortage, the pricing power of server manufacturers is reshaping profit structures. For investors, this report is not only a watershed moment for evaluating the company's investment value but also a key indicator for judging whether the AI computing chain's boom can be sustained.
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