Super Micro Computer (NASDAQ: SMCI) shares jumped 18% after the AI-server maker surprised the market with a significant improvement in gross margin guidance. However, Goldman Sachs is not convinced that one strong quarter signals a lasting turnaround for the company's business model.
Margin Guidance Crushes Expectations
Super Micro now expects fiscal fourth-quarter gross margins of 15% to 17%, a sharp improvement from its earlier forecast of 8.2% to 8.4%. The company also reported receiving over $60 billion in new orders, substantially boosting its backlog. This update alleviated concerns that the company was sacrificing profitability to capture strong AI demand.
Despite the positive news, Goldman Sachs analyst Katherine Murphy maintained a Sell rating on the stock, arguing that shipment timing, customer concentration, and limited diversification still cloud the outlook. The bank's price target remains at $30.
Revenue Miss Overshadowed by Margin Gains
Super Micro's quarterly revenue is expected to come in near the low end of its previously guided range of $11 billion to $12.5 billion. Typically, such a miss would disappoint investors, but the market focused instead on the margin improvement and the robust order book.
The company attributed the better margins to a more favorable customer and product mix. This is significant because the primary concern for Super Micro has not been demand, but rather the thin profits it earns when supplying expensive AI systems to powerful customers.
The $60 billion in new orders suggests that demand for servers and data-center systems remains strong. However, the company noted that these orders will be delivered over future quarters and warned that some may be subject to cancellation or delays. The preliminary figures are unaudited and could change before full results are released on August 11.
Goldman Sees Progress, but Questions Durability
Murphy acknowledged that the orders were encouraging amid debate over Super Micro's ability to win enterprise business. She noted that the backlog indicates the company is "broadening out its customer base," which should help gross margins over time.
However, Murphy pointed out that a margin-dilutive transaction expected during the quarter was delayed. Its absence reduced revenue but improved the customer and product mix, contributing to the strong margin forecast. This explains Goldman's refusal to turn bullish—the bank views part of the improvement as a timing benefit rather than evidence of a permanent change in the economics of selling AI hardware.
Customer concentration remains another concern. In Super Micro's latest filing, one data-center customer accounted for about 27% of quarterly sales and nearly 39% of year-to-date revenue. Goldman Sachs argues that Super Micro remains a price-taker between powerful suppliers and concentrated customers in the AI market.
The Backlog Conversion Test
The bullish case for Super Micro hinges on its ability to convert the backlog into revenue while maintaining double-digit margins. A broader mix of enterprise and sovereign-AI customers could improve bargaining power and reduce dependence on large neocloud operators.
On the bearish side, delayed, lower-margin deals could return in subsequent quarters, pulling profitability down again. Large orders also require upfront spending on GPUs, memory, and networking equipment before customers pay, pressuring working capital.
Citi analyst Asiya Merchant cited "ongoing variability tied to customer concentration, revenue timing and margin ramp volatility" while maintaining a cautious view. She also flagged dilution as Super Micro raises capital to fund its order book.
KeyBanc analyst Brandon Nispel echoed the cautious sentiment, stating that investors need to see "several quarters of both margins and revenue execution" before becoming more comfortable with the stock.
For broader market context, the semiconductor sector has seen recent strength, as highlighted in our coverage of the Dow surging 384 points on a semiconductor rebound. Meanwhile, Micron surged 12% on optimism around open-source AI models boosting memory demand.
This article is for informational purposes only and does not constitute financial advice.
