Micron Technology earnings exceed expectations! AI memory demand ignites stock price, Southeast Asian capacity becomes key engine

2026-08-05 16:27 33 views US Market Hot Intelligence

After the market close on August 4, US time, memory chip giant Micron Technology (Micron Technology) delivered an explosive quarterly performance. Driven by surging demand for AI computing power, the company's revenue and earnings per share both far exceeded Wall Street expectations, and the stock price soared more than 9% after hours, setting a new high. This strong performance not only ignited the trading enthusiasm of the semiconductor sector but also refocused the market on the most deterministic link in the AI industry chain - High Bandwidth Memory (HBM).

Earnings highlights: Revenue and profit both exceed expectations

According to Micron Technology's 2026 fiscal fourth quarter earnings report (ending August 2, 2026), the company achieved revenue of $9.87 billion in the quarter, a 62% year-on-year increase and an 18% quarter-on-quarter increase, significantly exceeding the market expectation of $9.02 billion. Net profit was $2.13 billion, compared to only $520 million in the same period last year; adjusted earnings per share (EPS) was $1.94, far higher than the analyst consensus expectation of $1.58. Gross margin climbed to 42.5%, an increase of 4.2 percentage points from the previous quarter, reaching a ten-year high.

Looking at business segments, data center business revenue accounted for over 55% for the first time, becoming the absolute growth engine. Among them, HBM product revenue surged 85% quarter-on-quarter, contributing nearly half of the incremental growth in the data center business. Company CEO Sanjay Mehrotra stated in the conference call: "The demand for memory from AI servers is growing exponentially. Currently, each AI accelerator uses as much HBM as dozens of traditional servers combined, and our HBM3E products are already at full production and full sales. Next, HBM4 will be sampled on time by the end of 2026." This statement further boosted market confidence in the storage industry's prosperity continuing into 2027.

AI memory supply shortage: Micron's golden age

Over the past year, as the scale of computing power required for large model training and inference has rapidly expanded, memory bandwidth has become a core bottleneck in AI systems. HBM (High Bandwidth Memory) provides much faster transmission speed than traditional memory through 3D stacking of DRAM chips, and is standard equipment for AI accelerators such as NVIDIA and AMD. Previously, market focus was mostly on GPUs themselves, but Micron's earnings report clearly shows that the supply-demand gap for storage chips is equally severe.

According to estimates from industry research firm TrendForce, global HBM market shipments in the first half of 2026 increased by over 200% year-on-year, with Micron, SK Hynix, and Samsung forming a tripod. With technological generation advantages and yield advantages, Micron occupies about 28% of the HBM3E market and has secured long-term orders for all 2026 capacity. Many analysts point out that the storage industry is transforming from a "cyclical commodity" to a "strategic scarce resource," and the price increase cycle may be longer than market expectations.

In addition to HBM, Micron's DDR5 server memory and NAND enterprise SSD are also experiencing both volume and price increases. The earnings report shows that the average selling price of DRAM products increased by 45% year-on-year, and NAND prices increased by 31%, with the price elasticity fully released due to industry supply-demand mismatch.

Southeast Asian capacity layout: key chips for cost and supply chain

In Micron's global supply chain, Southeast Asia occupies a pivotal position. The company has one of the world's largest packaging and testing bases in Penang, Malaysia, and advanced manufacturing plants and R&D centers in Singapore. In this earnings report, management emphasized that the capacity ramp-up speed in Malaysia and Singapore exceeded plans, providing a solid guarantee for the volume expansion of HBM products.

This layout has dual strategic significance for Micron. On one hand, labor costs in Southeast Asia are relatively low, and local governments provide generous tax incentives for semiconductor manufacturing. For example, the Malaysian government has vigorously promoted the "National Semiconductor Strategy" in recent years, offering income tax exemptions of up to 10 years for foreign chip companies; Singapore, with its complete logistics and scientific research ecosystem, has become an incubator for advanced packaging technology. On the other hand, against the backdrop of increasing geopolitical risks, the demand for supply chain diversification is urgent. Micron stopped the construction of some advanced storage capacity in mainland China as early as 2022, and instead shifted more resources to Southeast Asia and Japan to serve global core customers and avoid export control risks.

For local Southeast Asian investors, Micron's business expansion also brings direct benefits. The Penang factory is continuously expanding recruitment, planning to add 3,000 engineering positions by 2027; the Singapore R&D center cooperates with local universities to develop next-generation memory circuit design. In other words, Micron is not only an American tech giant but also an important employer and ecosystem promoter in Southeast Asia's electronics manufacturing industry.

Market reaction and market sentiment

After the earnings report was released, Micron Technology quickly rose in after-hours trading, once reaching $418.5, and finally closed at $412.3, up 9.2%. If this gain continues to the regular trading session on August 5, its market value will exceed $450 billion, setting a new record for the company. Options market data shows that call option trading volume surged to 3 times the daily average, with the $420 strike price August expiration contract being the most active, indicating strong short-term bullish sentiment.

Several investment firms quickly raised their target prices after the earnings report. Citigroup raised Micron's target price from $400 to $500, citing that "the AI memory supercycle is just beginning"; Morgan Stanley warned of short-term overvaluation but maintained an "overweight" rating, believing that long-term profit growth is sufficient to digest the valuation. Notably, Micron's stock price has risen by over 180% in the past 12 months, far outperforming the Nasdaq Index during the same period, and its volatility has also increased, with investors needing to be alert to the risk of high-level pullbacks.

Risks and outlook: maintain clarity amidst prosperity

Despite the bright prospects, the storage chip industry that Micron belongs to has always been highly cyclical. Currently, major manufacturers are expanding production, and supply may be released in the next two years. Once AI capital expenditure growth slows down or HBM yield generally improves, storage prices face downward pressure. In addition, about 10% of Micron's revenue comes from mainland Chinese customers, and if geopolitical tensions lead to export restrictions, it will also affect performance flexibility.

From a macro perspective, the US Department of Labor will release the July non-farm employment data on Friday (August 7). If the data is strong, it may reinforce the expectation that the Federal Reserve will maintain high interest rates for longer, putting pressure on high-growth growth stocks dependent on liquidity. As an asset with both growth and cyclical attributes, Micron's stock price is quite sensitive to interest rate changes, and investors need to closely monitor the cross-validation of macro signals and the company's quarterly guidance.

In summary, Micron Technology has achieved a historic breakthrough in performance driven by strong demand for AI memory, and its Southeast Asian capacity layout has become a unique advantage in responding to supply chain challenges. For investors concerned about US market hot spots, Micron is not only an important barometer for observing AI industry trends but also a deterministic variety that cannot be ignored in the portfolio. However, while chasing hot spots, investors should combine their own risk tolerance, reasonably control positions, and rationally view the fluctuations of cyclical industries.

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  1. CONNECT:[ UseTime:0.007192s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.010618s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '27' LIMIT 1 [ RunTime:0.003473s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.015363s ]
  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:0.003880s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.018302s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'green' AND `subsite_id` = '27' LIMIT 1 [ RunTime:0.002573s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.016707s ]
  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:0.006679s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.018847s ]
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  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.018052s ]
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  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003354s ]
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  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003647s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002781s ]
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  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6194' [ RunTime:0.003530s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.006449s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '27' AND `type` = 'article' AND `url` = 'https://www.thaifarm.asia/micron-earnings-ai-memory-surge-southeast-asia-2026' AND `create_time` >= 1788516916 AND ( `visitor_id` = 'a69142191a2ac6235052e7dbe215bf6f' OR `session_id` = '7131c02c09016a381809d71ffdb416ae' ) LIMIT 1 [ RunTime:0.003531s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '27' , `uid` = '0' , `visitor_id` = 'a69142191a2ac6235052e7dbe215bf6f' , `session_id` = '7131c02c09016a381809d71ffdb416ae' , `type` = 'article' , `target_id` = '6194' , `target_type` = 0 , `category_id` = '1256' , `title` = 'Micron Technology earnings exceed expectations! AI memory demand ignites stock price, Southeast Asian capacity becomes key engine' , `url` = 'https://www.thaifarm.asia/micron-earnings-ai-memory-surge-southeast-asia-2026' , `path` = '/micron-earnings-ai-memory-surge-southeast-asia-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` = 1788516976 , `update_time` = 1788516976 [ RunTime:0.006920s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.006901s ]
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  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1256 AND `subsite_id` = 27 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6194) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001965s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1256 AND `subsite_id` = 27 AND `pid` = '6086' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001268s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '27' AND `lang` = 'en-US' AND `document_id` = '6086' [ RunTime:0.008400s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1256 AND `subsite_id` = 27 AND `pid` = '6194' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001518s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 1256 AND `subsite_id` = 27 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6194) or ( sort = 0 and id > 6194) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001305s ]
  39. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '27' AND `lang` = 'en-US' AND `document_id` = '6320' [ RunTime:0.007450s ]
  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:0.001139s ]
  41. SELECT * FROM `g3ys_total` WHERE `target_id` = '6194' LIMIT 1 [ RunTime:0.000621s ]
  42. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002304s ]
  43. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (745,731,742,716,720) AND `status` = 1 [ RunTime:0.000805s ]
  44. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.001760s ]
  45. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (745,731,742,716,720) AND `subsite_id` = 27 AND `lang` = 'en-US' [ RunTime:0.000860s ]
  46. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002173s ]
  47. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '27' AND `status` = 1 LIMIT 1 [ RunTime:0.001115s ]
  48. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002692s ]
  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` <= 1788516976 ) AND ( `end_time` = 0 OR `end_time` >= 1788516976 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001068s ]
  50. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001886s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 27 AND `subsite_id` = '27' AND `lang` = 'en-US' [ RunTime:0.000935s ]
  52. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001751s ]
  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:0.000762s ]
  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:0.000658s ]
  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:0.000700s ]
  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:0.000709s ]
  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:0.000672s ]
  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:0.000712s ]
  59. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '27' AND `status` = 1 LIMIT 1 [ RunTime:0.001000s ]
  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` <= 1788516976 ) AND ( `end_time` = 0 OR `end_time` >= 1788516976 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000877s ]
  61. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 29 AND `subsite_id` = '27' AND `lang` = 'en-US' [ RunTime:0.000668s ]
  62. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 27 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.001059s ]
  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:0.001284s ]
  64. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2055' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000936s ]
  65. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2056' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000714s ]
  66. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '27' AND `category_id` = '2057' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000969s ]
  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:0.001154s ]
  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:0.001172s ]
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