AI Computing Power Chain “Barometer” Faces Major Test: Super Micro Computer (SMCI.US) Announces Earnings Tonight! Options Market Bets on 13.4% Stock Price Volatility, Bullish Sentiment Prevails

According to Zhitong Finance APP, AI server manufacturer Super Micro Computer (SMCI.US) will release its Q4 FY2026 financial results after the US market closes on Tuesday. This report will not only determine the short-term share price trend of Super Micro Computer, but also serve as a key indicator for the market to judge whether the prosperity of the AI computing power sector can be sustained. Options market pricing indicates that the stock could experience about 13.4% bidirectional volatility after the results are announced. Traders are wagering record amounts on bullish options, while simultaneously establishing downside protection at key levels.

Core Earnings Contradiction: “Exploding” Gross Margin vs. Underwhelming Revenue

Preliminary results disclosed by Super Micro Computer at the end of July present a seemingly contradictory set of data:

On the revenue side: Q4 revenue is expected to hit the lower end of the previously guided range of $11–12.5 billion. Analysts generally expect Q4 revenue to reach $11.56 billion, up 101% year-on-year. In the past five quarters, Super Micro Computer has missed revenue expectations four times.

On the profit side: Gross margin is expected to come in between 15% and 17%, far exceeding the previously given guidance of 8.2% to 8.4%. Analysts forecast Q4 EPS at $0.96, up 134% year-on-year. Over the past three months, analyst EPS estimates have been revised up 16 times, with zero downward revisions.

This combination of “low-end revenue and doubled gross margin” points to a single logic: the supply-demand imbalance for AI computing power is reshaping profit distribution across the industry chain.

Wedbush analyst Matt Bryson highlights three core drivers: Supply shortage—with continuous undersupply between June and July for AI motherboards and computing hardware; pricing power—hardware scarcity gives Super Micro Computer pricing power in the complete systems segment; structure optimization—delayed large client data center projects have indirectly increased the share of high-gross-margin product sales.

Options Market: 13.4% Volatility Expected, Bullish Sentiment Dominates

The options market is pricing in significant volatility, with Super Micro Computer closing up more than 1% at $31.46 on Monday. The options chain expiring August 14 shows at-the-money $32 straddle (buying both call and put options with strike prices closest to the share price) costs about $4.31, corresponding to an anticipated 13.4% swing before Friday’s expiration. Based on Monday’s close, this implies the stock could drop to $27.89 or rise to $36.51.

There is a heavy concentration of bullish call positions, indicating market participants have placed substantial upside bets. The calls with the highest open interest is the $31 strike (24,299 contracts), followed by the $33.5 strike (22,455 contracts). Even the deep out-of-the-money $40 call has a high open interest of 13,188 contracts. In Monday’s session, the $35 call traded over 8,500 contracts and the $33 call over 5,800 contracts.

On the put side, traders are establishing near-term downside hedges around the $28 and $30 strikes. The $28 puts have 4,772 contracts open, the $30 puts have 3,581, and the $29 put traded more than 2,000 contracts, reflecting that some traders are building protection against potential downside risks.

There are also significant divisions among Wall Street analysts regarding Super Micro Computer. Of the five analysts tracked by Visible Alpha, only one gives a “Buy” rating, two are “Neutral,” and two “Sell,” with an average target price of about $34. Mizuho’s Vijay Rakesh maintains a “Neutral” rating and $34 target, while Rosenblatt’s Kevin Cassidy and Needham’s Quinn Bolton give “Buy” ratings with targets of $45 and $46, respectively. The S&P Global consensus from 19 analysts is “Hold,” with an average target of $37.81. The highest target is $64, the lowest is $24.

Critical Uncertainty: Conversion Ability for $60 Billion Orders

Super Micro Computer added over $60 billion in new Q4 orders, setting a record for backlog orders. This figure is more than five times the low end of its revenue guidance.

However, the company warns that some of these orders may not represent firm commitments and remain subject to cancellation or delay. Delivery timelines and working capital needs are therefore in focus—operational cash outflows in Q3 amounted to $6.6 billion, while cash on hand is only $1.3 billion with an additional $8.8 billion in debt and convertible bonds.

In addition, an independent export control review by the Board remains ongoing, with management warning that this could affect guidance, preliminary results, and previously disclosed data.

Broader Context: The “Touchstone” of AI Computing Sector Prosperity

Super Micro Computer’s earnings draw significant attention as they not only test the company’s own performance, but also serve as a “touchstone” for the prosperity of the entire AI computing power chain. As a core contract manufacturer of Nvidia servers, its surge in large orders directly reflects the expanding computing power needs of leading cloud providers and AI companies.

In the past 12 months, Super Micro Computer’s stock still fell by about 30%, underperforming Hewlett Packard Enterprise (+160%) and Dell Technologies (+230%). This earnings report will determine whether the share price can stabilize and recover—investors will closely monitor actual revenue, the composition of backlog orders, and shipment schedules.

Super Micro Computer’s Q4 results represent a crucial test for the profitability logic across the AI computing power chain. The combination of nearly doubled gross margin guidance and revenue at the lower end of the range both point to the same signal—in the context of constrained supply for AI hardware, system manufacturers’ pricing power is reshaping the profit structure. For investors, this earnings report is not only a watershed for evaluating Super Micro Computer’s own investment value, but also a key indicator for judging whether the AI computing power chain can maintain its prosperity.