Supermicro's stunning earnings report impresses Wall Street, AI server demand ignites US data center sector

2026-08-05 16:37 51 views US Stock Trending News

After the US market close on August 4, 2026, hailed as the "AI server first stock," Supermicro Computer (Supermicro Computer, SMCI) released its 2026 fiscal year fourth quarter earnings report. The data showed that the company's revenue and profit both significantly exceeded market expectations, and the guidance for the next quarter was particularly optimistic. Stimulated by this news, Supermicro's stock price surged over 15% after hours, and drove the US data center and AI computing related sectors to strengthen collectively before the market open the next day. Against the backdrop of continuously high global AI capital expenditure, this earnings report once again confirmed that AI infrastructure demand remains strong, injecting new momentum into the frenzied "AI trading".

Core earnings data: fully exceeded expectations

According to the earnings report, Supermicro Computer achieved revenue of $8.46 billion in the 2026 fiscal year Q4, a 72% year-on-year increase, significantly higher than analysts' previous forecast of $7.82 billion. Adjusted earnings per share (EPS) was $8.34, also significantly higher than the market expectation of $7.65. Notably, the company's gross margin increased to 14.2% quarter-on-quarter, although still lower than the average level of traditional server manufacturers, showing that its supply chain management capabilities are improving under the pressure of high-power AI server delivery.

Key financial indicators at a glance

  • Revenue: $8.46 billion, up 72% year-on-year, up 18% quarter-on-quarter.
  • Net profit: $712 million, with adjusted net profit margin of 8.4%.
  • Adjusted earnings per share: $8.34, higher than expected $7.65.
  • Gross margin: 14.2%, up 1.1 percentage points quarter-on-quarter.

Management stated in the conference call that AI server-related revenue accounted for over 80% in this quarter, with 8U/4U liquid-cooled servers based on NVIDIA Blackwell Ultra and AMD MI450 platforms being the most sought after. CEO Charles Liang emphasized: "We not only see continued strong orders from large cloud service providers, but also rapid growth in demand from sovereign AI projects and small and medium-sized AI startups, which lays a solid foundation for growth in the next few quarters."

AI server demand: spreading from cloud giants to sovereign AI

Supermicro's impressive performance is not an isolated case. Since 2024, the world's four major cloud providers—Amazon, Microsoft, Google, Meta—have all significantly increased their 2026 AI capital expenditure budgets, with a combined expected amount exceeding $500 billion. Almost all large-scale data centers are accelerating the deployment of liquid cooling and high-performance computing clusters. With Intel Gaudi 3 and AMD MI450 mass production, the supply pattern of the AI computing market has also become more diversified, further driving demand for server整机 and cabinet-level solutions.

It is worth mentioning that Supermicro disclosed a decrease in "core customer concentration" this quarter. The combined revenue share of the top five customers decreased from 64% in the previous quarter to 51%, indicating that order sources are diversifying to more medium and large enterprises. Meanwhile, the company also disclosed an intent of cooperation with a sovereign AI project from a Southeast Asian country, planning to build a green data center with 50,000 GPU training capabilities locally. Market analysis believes that sovereign AI projects are becoming another major growth point after cloud providers, and Supermicro, with its rapid delivery and modular design capabilities, occupies a favorable position in global competition.

Sector linkage effect: US data center concept stocks collectively warm up

After Supermicro's earnings report was released, related industry chain stocks in the US market rose across the board before the market open on August 5. Dell Technologies (DELL) rose 2.3%, HPE (HPE) rose 1.8%, while optical fiber and cooling companies such as Coherent (COHR) and Vertiv (VRT) rose more than 3%. Philadelphia Semiconductor Index futures also rose simultaneously. Investors view this earnings report as another strong validation of AI hardware sector prosperity, with higher expectations for NVIDIA (NVDA), whose earnings report is about to be released.

On the other hand, Supermicro's optimistic guidance also alleviated market concerns about the "AI bubble." Since mid-July, due to signs of slowing capital expenditure growth from some cloud providers, the US tech sector had experienced a round of adjustment, with the Nasdaq Index pulling back by 5%. This earnings report reignited bull confidence, and several investment firms raised Supermicro's target price in a timely manner. Morgan Stanley raised the target price from $820 to $920 and maintained an "overweight" rating, believing that the company is in a product cycle dimension upgrade bonus period.

Industry interpretation: AI infrastructure investment is still in the early explosive stage

From a macro perspective, Supermicro's performance provides a new fundamental footnote to "AI trading." Although the market frequently worries about the too-long AI investment return cycle, the actual situation is that large model training and inference demand is still growing exponentially. OpenAI's next-generation model GPT-6 codenamed "Nebula" is said to use over 100,000 H200-level GPUs for training, while Meta's Llama 5 is expected to adopt a mixed MoE architecture, with computing power demand 4-5 times higher than the previous generation. AI application implementation is expanding from chatbots to multiple fields such as autonomous driving, robotics, and drug research, each corresponding to huge computing power procurement.

At the same time, the tight supply chain situation also provides bargaining space for leading manufacturers. The penetration rate of liquid cooling has increased from less than 10% in 2024 to nearly 35% in 2026, but high-end liquid-cooled servers are still in short supply. Supermicro's NVIDIA HGX standard liquid cooling solution even requires two quarters of advance production scheduling. This supply-demand imbalance is considered by many analysts as "the most certain growth track."

Risk factors and valuation thinking: maintain clarity amidst frenzy

Despite the bright prospects, Supermicro's stock price is not without hidden dangers. Currently, its dynamic P/E ratio exceeds 40 times, at a historical high. Once AI capital expenditure growth slows down or major customers shift orders due to self-developed chips, the company's performance may face drastic fluctuations. In addition, the intensification of US-China trade friction and export control policies may also affect its overseas supply chain layout, especially the uncertainty in the progress of capacity expansion in Southeast Asia.

From a more macro perspective, the total market value of US tech stocks already accounts for nearly 40% of the S&P 500 total market value, and concentration risk cannot be ignored. As the Federal Reserve balances inflation and employment, if interest rates remain high for a long time, valuation compression for high-growth growth stocks will become the norm. Therefore, while chasing the AI trend, investors should focus on position management and use option strategies to hedge against volatility risks.

Conclusion

Supermicro's earnings report is not only an excellent report card but also a high-quality "probe" that confirms AI prosperity. Its boosting effect on the US data center sector shows that the market is still willing to pay a premium for deterministic growth. For investors concerned about US market trends, August is still a dense earnings reporting period, with earnings reports from giants such as NVIDIA, Broadcom, and TSMC to be released in succession. Whether the wealth effect of the AI industry chain can continue, we will continue to track. In the midst of the surging tech wave, rationality and discipline are always the ballast of investment navigation.

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  1. CONNECT:[ UseTime:0.015853s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.013188s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '27' LIMIT 1 [ RunTime:0.009415s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.018458s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.008918s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.015641s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'green' AND `subsite_id` = '27' LIMIT 1 [ RunTime:0.009551s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.013600s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 27 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.010001s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.014533s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '27' LIMIT 1 [ RunTime:0.011746s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.024544s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 27 AND `name` = 'supermicro-q4-earnings-ai-server-demand-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.016165s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6197' OR `id` = '6197' ) AND `subsite_id` = 27 LIMIT 1 [ RunTime:0.036625s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.025658s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.013751s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6197' LIMIT 1 [ RunTime:0.004740s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.012749s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6197' LIMIT 1 [ RunTime:0.001891s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.012341s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.008015s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '27' AND `lang` = 'en-US' AND `document_id` = '6197' [ RunTime:0.039685s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.015635s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.006111s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.012462s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '1255' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.014307s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6197' LIMIT 1 [ RunTime:0.001548s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6197' [ RunTime:0.006259s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.017873s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '27' AND `type` = 'article' AND `url` = 'https://www.thaifarm.asia/supermicro-q4-earnings-ai-server-demand-2026' AND `create_time` >= 1788513240 AND ( `visitor_id` = '1b8122dd36b6ae3945f6473c9d0cfdd5' OR `session_id` = 'ac715aef7041414f8eac0bba0df9c1fb' ) LIMIT 1 [ RunTime:0.005980s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '27' , `uid` = '0' , `visitor_id` = '1b8122dd36b6ae3945f6473c9d0cfdd5' , `session_id` = 'ac715aef7041414f8eac0bba0df9c1fb' , `type` = 'article' , `target_id` = '6197' , `target_type` = 0 , `category_id` = '1255' , `title` = 'Supermicro\'s stunning earnings report impresses Wall Street, AI server demand ignites US data center sector' , `url` = 'https://www.thaifarm.asia/supermicro-q4-earnings-ai-server-demand-2026' , `path` = '/supermicro-q4-earnings-ai-server-demand-2026' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.216.196' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1788513300 , `update_time` = 1788513300 [ RunTime:0.011333s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.018260s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6197' AND `pid` = '0' [ RunTime:0.013413s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1255 AND `subsite_id` = 27 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6197) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.011015s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1255 AND `subsite_id` = 27 AND `pid` = '5837' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.009447s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '27' AND `lang` = 'en-US' AND `document_id` = '5837' [ RunTime:0.022584s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1255 AND `subsite_id` = 27 AND `pid` = '6197' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.007060s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 1255 AND `subsite_id` = 27 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6197) or ( sort = 0 and id > 6197) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002841s ]
  39. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '27' AND `lang` = 'en-US' AND `document_id` = '6265' [ RunTime:0.042369s ]
  40. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003096s ]
  41. SELECT * FROM `g3ys_total` WHERE `target_id` = '6197' LIMIT 1 [ RunTime:0.021659s ]
  42. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.020947s ]
  43. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (731,728,723,745,721) AND `status` = 1 [ RunTime:0.008283s ]
  44. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.013012s ]
  45. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (731,728,723,745,721) AND `subsite_id` = 27 AND `lang` = 'en-US' [ RunTime:0.007290s ]
  46. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.020288s ]
  47. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '27' AND `status` = 1 LIMIT 1 [ RunTime:0.019372s ]
  48. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.016471s ]
  49. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '27' AND `ad_location_id` = '27' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1788513300 ) AND ( `end_time` = 0 OR `end_time` >= 1788513300 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.009852s ]
  50. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.020637s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 27 AND `subsite_id` = '27' AND `lang` = 'en-US' [ RunTime:0.018558s ]
  52. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.010741s ]
  53. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.005420s ]
  54. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003606s ]
  55. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.018810s ]
  56. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.024743s ]
  57. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.007251s ]
  58. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.014559s ]
  59. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '27' AND `status` = 1 LIMIT 1 [ RunTime:0.017162s ]
  60. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '27' AND `ad_location_id` = '29' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1788513300 ) AND ( `end_time` = 0 OR `end_time` >= 1788513300 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.007500s ]
  61. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 29 AND `subsite_id` = '27' AND `lang` = 'en-US' [ RunTime:0.009602s ]
  62. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 27 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.027415s ]
  63. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (747,746,745,744,743,742,741,740,739,738,737,736,735,734,733) AND `subsite_id` = 27 AND `lang` = 'en-US' [ RunTime:0.018019s ]
  64. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2055' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.009039s ]
  65. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2056' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.004847s ]
  66. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2057' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.012209s ]
  67. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001561s ]
  68. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '27' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.005925s ]
5.840222s