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SMCI stock slides again as Goldman’s ‘sell’ call puts Super Micro margins back under the microscope
14 January 2026
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SMCI stock slides again as Goldman’s ‘sell’ call puts Super Micro margins back under the microscope

New York, January 14, 2026, 13:21 ET — Regular session

  • Shares dropped roughly 2% in afternoon trading, with investors fixated on ongoing margin pressure
  • Goldman kicked off coverage with a “Sell” rating and a $26 price target, citing uncertain profit prospects
  • Traders are eyeing early-February results for clues on whether margins will hold steady

Shares of Super Micro Computer dropped 1.7% Wednesday, continuing their slide after Goldman Sachs initiated coverage with a “Sell” rating on the AI server specialist. By 1:21 p.m. ET, the stock was down 48 cents, trading at $28.12, having hit a low of $27.77 earlier.

The call comes at a tricky moment for a company long viewed as a popular bet on data center spending. The focus is moving away from how quickly Super Micro can expand to how much profit it holds onto once the hardware leaves the factory.

Investors swiftly punish server makers the moment margins slip, regardless of steady revenue. So, every fresh analyst report on profitability tends to act as a near-term trigger rather than just background chatter.

Goldman analyst Katherine Murphy initiated coverage with a Sell rating and pegged a 12-month price target at $26 per share. She noted Super Micro should hold its position as “a leader in the AI server market in the medium term,” particularly with tier-2 cloud and “neocloud” clients — newer cloud operators ramping up AI-focused capacity. Goldman highlighted the company’s 27% share in this segment during calendar Q3 2025. Investing.com

Murphy worries the growth mix will keep dragging down margins, meaning big sales boosts that cut into profits. She flagged “limited visibility into profitability” in a note Barchart quoted, pointing out margins have “halved … to 9.5%” and warned of possible “further downside.” Barchart.com

Goldman highlighted the supply chain’s bargaining power. One supplier makes up 64% of Super Micro’s purchases, placing the company in a “price-taking position” between suppliers and a tight customer base. The firm also raised doubts about the growth of its Data Center Building Blocks platform, noting software accounts for under 2% of revenue. GuruFocus

Competition is adding to the pressure. According to TheFly, Goldman Sachs notes that both OEMs and ODMs — the usual brand-name hardware firms and contract manufacturers — are ramping up challenges. Coupled with rising input costs, this leaves scant space to boost margins swiftly.

The stock’s decline mirrored a weaker mood in AI-related hardware. Nvidia dropped roughly 2.1%, with Dell Technologies and Hewlett Packard Enterprise both dipping around 1% in afternoon trading.

Super Micro’s latest earnings highlight just how fast logistics can flip into profits. CEO Charles Liang revealed in November that roughly $1.5 billion in revenue moved into the December quarter when a major customer made last-minute tweaks to GPU rack configurations.

The downside scenario is clear: big AI deployments keep rolling out, but discounts and rising expenses limit profit gains. J.P. Morgan analysts warn that “profit opportunities” in AI computing might lag behind “revenue opportunities.” Susquehanna has also pointed to risks of lower-margin deals and steep price cuts on large orders. Reuters

Super Micro’s next major test arrives with its quarterly report, set for Feb. 3, per Investing.com’s earnings calendar. Traders will focus on gross margin, backlog conversion, and any clues on pricing for next-gen GPU systems amid rising competition.

Khadija Saeed is a financial markets reporter at TS2.tech, specializing in stocks, technology and emerging industries. She studied economics and finance at the London School of Economics and previously worked in market research before moving into financial journalism. Her coverage focuses on the companies, innovations and economic trends influencing global investors.

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