Super Micro Computer (SMCI)
Market Price (12/23/2025): $31.11 | Market Cap: $18.5 BilSector: Information Technology | Industry: Technology Hardware, Storage & Peripherals
Super Micro Computer (SMCI)
Market Price (12/23/2025): $31.11Market Cap: $18.5 BilSector: Information TechnologyIndustry: Technology Hardware, Storage & Peripherals
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -34% | Weak multi-year price returns2Y Excs Rtn is -49% | Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 56x |
| Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include Data Centers & Infrastructure, and AI Chips. | Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 15% | Weak revenue growthRev Chg QQuarterly Revenue Change % is -15% |
| Short seller reportHindenburg Research report on 8/27/2024. | ||
| Key risksSMCI key risks include [1] a history of significant financial reporting and governance deficiencies, Show more. |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -34% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include Data Centers & Infrastructure, and AI Chips. |
| Weak multi-year price returns2Y Excs Rtn is -49% |
| Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 15% |
| Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 56x |
| Weak revenue growthRev Chg QQuarterly Revenue Change % is -15% |
| Short seller reportHindenburg Research report on 8/27/2024. |
| Key risksSMCI key risks include [1] a history of significant financial reporting and governance deficiencies, Show more. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
Here are the key points explaining the approximate -25.2% stock movement for Super Micro Computer (SMCI) from August 31, 2025, to December 23, 2025: 1. Disappointing Q4 Fiscal Year 2025 Earnings.Super Micro Computer reported weaker-than-expected fourth-quarter and full fiscal year 2025 financial results on August 5, 2025. The company missed both EPS and revenue estimates, with net income falling to $1.0 billion ($1.68 per share) from $1.2 billion ($1.92 per share) in FY2024, and gross margins noticeably thinner. This earnings miss triggered a significant single-day plunge, wiping out approximately 30% of the company's market capitalization. 2. Continued Margin Compression.
Throughout the period, Super Micro faced persistent pressure on its profit margins. The company's gross margin was 9.5% in Q4 FY2025 and further decreased to 9.3% in Q1 FY2026. This compression was attributed to intense competition in the AI server market, where rivals with greater scale were undercutting on price and performance, as well as rising production costs. Show more
Stock Movement Drivers
Fundamental Drivers
The -33.7% change in SMCI stock from 9/22/2025 to 12/22/2025 was primarily driven by a -21.1% change in the company's Net Income Margin (%).| 9222025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 46.87 | 31.07 | -33.71% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 21972.04 | 21052.58 | -4.18% |
| Net Income Margin (%) | 4.77% | 3.77% | -21.11% |
| P/E Multiple | 26.71 | 23.34 | -12.59% |
| Shares Outstanding (Mil) | 597.61 | 595.62 | 0.33% |
| Cumulative Contribution | -33.71% |
Market Drivers
9/22/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| SMCI | -33.7% | |
| Market (SPY) | 2.7% | 56.7% |
| Sector (XLK) | 2.7% | 65.4% |
Fundamental Drivers
The -24.0% change in SMCI stock from 6/23/2025 to 12/22/2025 was primarily driven by a -29.4% change in the company's Net Income Margin (%).| 6232025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 40.89 | 31.07 | -24.02% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 21569.72 | 21052.58 | -2.40% |
| Net Income Margin (%) | 5.34% | 3.77% | -29.42% |
| P/E Multiple | 21.14 | 23.34 | 10.42% |
| Shares Outstanding (Mil) | 595.04 | 595.62 | -0.10% |
| Cumulative Contribution | -24.02% |
Market Drivers
6/23/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| SMCI | -24.0% | |
| Market (SPY) | 14.4% | 42.6% |
| Sector (XLK) | 19.7% | 55.0% |
Fundamental Drivers
The -1.6% change in SMCI stock from 12/22/2024 to 12/22/2025 was primarily driven by a -57.6% change in the company's Net Income Margin (%).| 12222024 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 31.59 | 31.07 | -1.65% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 11819.52 | 21052.58 | 78.12% |
| Net Income Margin (%) | 8.88% | 3.77% | -57.57% |
| P/E Multiple | 17.01 | 23.34 | 37.24% |
| Shares Outstanding (Mil) | 564.78 | 595.62 | -5.46% |
| Cumulative Contribution | -1.94% |
Market Drivers
12/22/2024 to 12/22/2025| Return | Correlation | |
|---|---|---|
| SMCI | -1.6% | |
| Market (SPY) | 16.9% | 46.9% |
| Sector (XLK) | 23.8% | 58.7% |
Fundamental Drivers
The 278.0% change in SMCI stock from 12/23/2022 to 12/22/2025 was primarily driven by a 250.0% change in the company's Total Revenues ($ Mil).| 12232022 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 8.22 | 31.07 | 278.03% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 6015.50 | 21052.58 | 249.97% |
| Net Income Margin (%) | 7.38% | 3.77% | -48.99% |
| P/E Multiple | 9.73 | 23.34 | 139.82% |
| Shares Outstanding (Mil) | 525.98 | 595.62 | -13.24% |
| Cumulative Contribution | 271.40% |
Market Drivers
12/23/2023 to 12/22/2025| Return | Correlation | |
|---|---|---|
| SMCI | 7.2% | |
| Market (SPY) | 47.7% | 37.5% |
| Sector (XLK) | 52.9% | 46.1% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| SMCI Return | 32% | 39% | 87% | 246% | 7% | 2% | 1195% |
| Peers Return | 14% | 55% | -19% | 52% | 45% | 16% | 270% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 17% | 113% |
Monthly Win Rates [3] | |||||||
| SMCI Win Rate | 58% | 58% | 50% | 58% | 42% | 50% | |
| Peers Win Rate | 55% | 72% | 38% | 62% | 65% | 62% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| SMCI Max Drawdown | -33% | -2% | -21% | -14% | -37% | -12% | |
| Peers Max Drawdown | -38% | -4% | -34% | -7% | -6% | -33% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: DELL, HPE, ANET, CSCO, NTAP.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/22/2025 (YTD)
How Low Can It Go
| Event | SMCI | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -34.5% | -25.4% |
| % Gain to Breakeven | 52.6% | 34.1% |
| Time to Breakeven | 120 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -45.8% | -33.9% |
| % Gain to Breakeven | 84.4% | 51.3% |
| Time to Breakeven | 82 days | 148 days |
| 2018 Correction | ||
| % Loss | -59.6% | -19.8% |
| % Gain to Breakeven | 147.6% | 24.7% |
| Time to Breakeven | 440 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -66.3% | -56.8% |
| % Gain to Breakeven | 196.9% | 131.3% |
| Time to Breakeven | 404 days | 1,480 days |
Compare to MKSI, OLED, BMI, AVT, AMCI
In The Past
Super Micro Computer's stock fell -34.5% during the 2022 Inflation Shock from a high on 8/7/2023. A -34.5% loss requires a 52.6% gain to breakeven.
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AI Analysis | Feedback
Here are 1-3 brief analogies for Super Micro Computer (SMCI):
- The Tesla of AI server hardware. (Like Tesla in electric vehicles, SMCI is seen as an innovative leader in high-performance servers, especially for artificial intelligence.)
- If NVIDIA makes the engines (GPUs) for AI, Super Micro builds the high-performance race cars (servers) to house them. (NVIDIA provides the processing power; SMCI engineers the specialized, optimized physical systems that run it.)
- A highly specialized Dell or HP Enterprise, building the fastest servers specifically for AI. (Similar to established enterprise hardware companies, but hyper-focused on cutting-edge, high-performance server infrastructure for data centers and AI workloads.)
AI Analysis | Feedback
- Servers: Provides a wide range of high-performance, high-efficiency servers optimized for AI, enterprise, cloud, and edge computing workloads.
- Storage Systems: Offers scalable, high-density, and high-performance storage solutions, including all-flash arrays and rackmount storage servers.
- Workstations: Delivers powerful professional workstations designed for demanding applications such as design, engineering, and content creation.
- Networking Solutions: Supplies essential networking components like switches and network interface cards (NICs) to build comprehensive data center infrastructure.
- Server Management Software & Support: Provides software tools for managing server infrastructure and offers global technical support services for their hardware products.
AI Analysis | Feedback
Super Micro Computer (SMCI) primarily sells its products and solutions to other companies, operating on a Business-to-Business (B2B) model.
According to Super Micro Computer's financial filings, such as its Annual Report on Form 10-K for the fiscal year ended June 30, 2023, no single customer accounted for 10% or more of its net sales during fiscal years 2023, 2022, or 2021. This indicates that SMCI has a diversified customer base and does not rely on a few dominant, publicly disclosed "major customers" by name based on revenue concentration thresholds.
Therefore, instead of listing specific company names, Super Micro Computer's major customers can be categorized by the types of organizations it serves:
- Hyperscale and Cloud Service Providers: These are companies that build and operate massive data centers to offer cloud computing, hosting, and Artificial Intelligence (AI) services to a wide range of clients. They require high-performance, scalable server and storage infrastructure to support their operations.
- Large Enterprises: Corporations across various industries (e.g., financial services, manufacturing, telecommunications, healthcare, media) that utilize Super Micro's solutions for their internal IT infrastructure, data analytics, critical applications, and private cloud deployments.
- High-Performance Computing (HPC) and Research Institutions: Universities, government laboratories, and private research organizations that need specialized, powerful computing solutions for scientific research, complex simulations, advanced analytics, and the development of AI and machine learning models.
- Original Equipment Manufacturers (OEMs) and Value-Added Resellers (VARs): Other technology companies that integrate Super Micro's server components or complete systems into their own branded products and solutions, and channel partners who package and resell SMCI's offerings to a broader customer base, often adding their own services.
AI Analysis | Feedback
- Intel Corporation (INTC)
- Advanced Micro Devices, Inc. (AMD)
- NVIDIA Corporation (NVDA)
AI Analysis | Feedback
Charles Liang, President, Chief Executive Officer and Chairman of the Board
Charles Liang co-founded Super Micro Computer, Inc. in September 1993 and has served as its President, Chief Executive Officer, and Chairman of the Board since inception. Prior to founding Supermicro, Mr. Liang was President and Chief Design Engineer of Micro Center Computer Inc., a high-end motherboard design and manufacturing company, from July 1991 to August 1993. From January 1988 to April 1991, he was a Senior Design Engineer and Project Leader for Chips & Technologies, Inc., a chipset technology company, and Suntek Information International Group. Chips & Technologies, Inc. was later acquired by Intel Corp. Mr. Liang holds several server technology patents.
David Weigand, Senior Vice President, Chief Financial Officer and Chief Compliance Officer
David Weigand was appointed Senior Vice President, Chief Financial Officer in February 2021, and has served as Senior Vice President and Chief Compliance Officer since May 2018. Before joining Supermicro, Mr. Weigand was a Vice President at Hewlett Packard Enterprise (HPE) from November 2016 until April 2018. He served as Vice President, Tax at Silicon Graphics International, Inc. from September 2013 until its acquisition by HPE in November 2016. Prior to that, he was Vice President, Chief Financial Officer of Renesas Electronics America from October 2010 to April 2013, and Vice President, Controller of NEC Electronics America from October 2004 to September 2010.
Wally Liaw, Co-Founder & Senior Vice President, Business Development
Wally Liaw co-founded Super Micro Computer, Inc. in September 1993. He held various executive positions including Senior Vice President of Worldwide Sales and Corporate Secretary. Mr. Liaw was the president of 2CRSi Corporation from June 2020 to April 2021. He returned to Supermicro as a consultant in May 2021 and then full-time in August 2022 as Senior Vice President, Business Development. From 1988 to 1991, Mr. Liaw was Vice President of Engineering at Great Tek, a computer company.
Sara Liu, Co-Founder, Senior Vice President, and Director
Sara Liu co-founded Super Micro Computer, Inc. in September 1993 with Charles Liang. She serves as Senior Vice President and a Director. Her previous roles at the company include Treasurer from its inception to May 2019, Senior Vice President of Operations from May 2014 to February 2018, and Chief Administrative Officer from October 1993 to May 2019.
Don Clegg, Senior Vice President, Worldwide Sales
Don Clegg serves as the Senior Vice President of Worldwide Sales at Super Micro Computer, Inc.
AI Analysis | Feedback
The key risks to Super Micro Computer's business include financial reporting and governance issues, intense competition and margin pressures in the AI server market, and inventory management and supply chain weaknesses.
1. Financial Reporting and Governance Issues
Super Micro Computer faces significant challenges related to its financial reporting and corporate governance. The company has a history of material weaknesses in its internal controls over financial reporting, which has led to delays in filing its annual 10-K reports with the SEC. Its former auditor, Ernst & Young, resigned due to governance and transparency concerns. These issues have raised credibility concerns, impacted investor and customer confidence, and historically even led to SEC fines for premature revenue recognition and understated expenses. The inability to provide timely and accurate financial results poses a risk of delisting and ongoing regulatory scrutiny. While the company has taken steps to address these issues, remediation efforts have been described as "works in progress" with no guarantee of long-term effectiveness. Furthermore, there are concerns regarding executive compensation structures and insider stock sales that may not align with long-term shareholder value. Some reports indicate that the company's internal control over financial reporting was "not effective" as of June 30, 2025. Additionally, weak financial controls contribute to valuation risks. The company has acknowledged weaknesses in its financial disclosure controls as of June 30, 2025, which could impact its ability to provide timely and accurate financial results. These issues have contributed to a significant drop in its stock price. The company continues to face risks related to being delinquent in its SEC reporting obligations, which could lead to further downward pressure on its stock price, litigation, reputational harm, and increased cost of commercial credit. There are also specific concerns about job overlaps leading to inadequate segregation of duties, insufficient processes for manual accounting entries, and incomplete or inaccurate data in financial reports, which could result in errors or fraud. Despite these flags, management and their auditors have certified the financial statements as accurate and up to GAAP standards.
2. Intense Competition and Margin Pressures in the AI Server Market
Super Micro operates in a highly competitive AI server market that includes established players like Dell Technologies, Hewlett Packard Enterprise (HPE), and Lenovo, as well as new entrants. This intense competition is exerting significant pressure on Super Micro's gross margins and pricing strategies. Despite impressive revenue growth driven by AI server solutions, the company has experienced declining gross profit margins. For example, gross margins have fallen, and analysts project them to remain around 10-11% in the near term, which could hinder profitability. The market for AI server components is also susceptible to commoditization, further threatening margins. Super Micro's ability to maintain competitive pricing is crucial as larger competitors enhance their AI strategies. The shift in focus to total cost of ownership in the server investment market also puts pressure on companies to balance operational efficiency with competitive financing options, an area where stronger players like Dell have an advantage. The necessity to adapt to changing customer needs and differentiate its offerings is critical in this evolving competitive landscape.
3. Inventory Management and Supply Chain Weaknesses
Super Micro faces risks associated with its inventory management and supply chain. The company has experienced a substantial increase in inventory that has not been adequately supported by operational cash flows, leading to an increase in debt. This situation, combined with a decline in payable days, suggests that Super Micro may be required to pay upfront for products, particularly to secure access to components from key partners like NVIDIA. This exposes the company to significant financial risks if customer demand fluctuates or if market demand is overstated, potentially leading to excessive inventory levels. Furthermore, Super Micro faces supplier concentration risk, with a significant portion of its purchases coming from a limited number of suppliers, which can heighten supply-chain and single-vendor risk. The volatility in accruals ratios caused by inventory build-ups raises concerns about the company's business model and suggests a potentially weak position in the supply chain.
AI Analysis | Feedback
The increasing trend of large hyperscale cloud providers and AI data center operators to design and build their own highly customized server hardware and AI accelerators, often working directly with Original Design Manufacturers (ODMs) or leveraging internal manufacturing capabilities. This vertical integration by major customers threatens to diminish Super Micro Computer's addressable market and growth opportunities within the largest, most capital-intensive segment of the AI infrastructure build-out, as these customers reduce their reliance on off-the-shelf or semi-custom solutions from traditional server vendors.
AI Analysis | Feedback
Super Micro Computer (SMCI) is a prominent provider of high-performance and high-efficiency server and storage solutions, catering to various markets including enterprise data centers, cloud computing, artificial intelligence (AI), 5G, and edge computing.
The addressable markets for Super Micro Computer's main products and services are substantial and growing globally:
- Servers: The global server market was valued at approximately USD 103.12 billion in 2024 and is projected to reach USD 237.25 billion by 2033, demonstrating a compound annual growth rate (CAGR) of 9.7% from 2024 to 2033. Another estimate for the global server market size was USD 94.09 billion in 2023, expected to grow to USD 175.29 billion by 2030 with a CAGR of 9.8% from 2024 to 2030. North America is a dominant region in the server market, with the United States leading the regional share. IDC also projected the worldwide server market value to reach $366.0 billion in 2025.
- AI Infrastructure (including GPU Servers): The global artificial intelligence (AI) infrastructure market was valued at USD 69.44 billion in 2024 and is anticipated to grow significantly to USD 1248.60 billion by 2032, at a remarkable CAGR of 43.50% from 2025 to 2032. Other reports indicate the global AI infrastructure market size was valued at USD 46.15 billion in 2024 and is projected to reach USD 356.14 billion by 2032, with a CAGR of 29.10%. IDC forecasts global AI infrastructure spending to reach $758 billion by 2029, with accelerated servers constituting 94.3% of this market. The United States accounts for a significant portion of the global AI infrastructure market spending, at 76% in Q2 2025.
- Data Storage Systems: The global data storage market size was valued at USD 218.33 billion in 2024 and is projected to expand to USD 774.00 billion by 2032, growing at a CAGR of 17.2% from 2024 to 2032. Another source estimated the global data storage market at USD 230.87 billion in 2024, projected to reach USD 942.15 billion by 2034 with a CAGR of 15.10%. North America held the largest share of the global data storage market, accounting for 42.07% in 2024. The global cloud storage market, a segment of data storage, is expected to grow from USD 99.2 billion in 2023 to USD 234.9 billion by 2028.
- Edge Computing: The global edge computing market size reached USD 18.3 billion in 2024 and is expected to grow to USD 114.4 billion by 2033, exhibiting a CAGR of 22.40% during the forecast period of 2025-2033. Another report estimated the global edge computing market size at USD 23.65 billion in 2024, expected to reach USD 327.79 billion in 2033, growing at a CAGR of 33.0% from 2025 to 2033. North America dominated the global edge computing market in 2024, holding over 38% of the revenue share.
AI Analysis | Feedback
Super Micro Computer (SMCI) is poised for significant revenue growth over the next 2-3 years, driven by several key factors:
-
Surging Demand for AI GPU Platforms: Supermicro is a critical enabler of AI infrastructure, specializing in high-performance server systems optimized for artificial intelligence workloads. The company has reported a significant year-over-year revenue increase driven by strong AI demand from both new and existing customers. AI contributed over 70% of revenues across enterprise and cloud service provider markets in a recent quarter, with analysts expecting this momentum to continue.
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Expansion of Data Center Building Block Solutions (DCBBS): Supermicro is strategically expanding its Data Center Building Block Solutions (DCBBS) portfolio. This comprehensive approach provides end-to-end data center solutions, including service and engineering support, which is expected to meaningfully drive both revenue and margin improvement in the future.
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Global Manufacturing Capacity Expansion: To meet the "unprecedented demand," Supermicro is aggressively expanding its production facilities globally. This includes adding new campuses and scaling operations in regions such as Malaysia, Taiwan, Europe, and North America, which will significantly increase manufacturing capacity to support future growth.
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Leadership in Advanced Liquid Cooling Solutions: Supermicro is a market leader in liquid cooling technology, which is becoming increasingly essential for the energy efficiency and performance of high-density AI data centers. The company anticipates that liquid cooling solutions will account for over 30% of new data center deployments within the next 12 months, positioning it to capture a significant share of this growing market.
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Rapid New Product Innovation and Time-to-Market Advantage: Supermicro maintains a first-to-market advantage with next-generation AI products, including being among the first to ship the latest NVIDIA B200/GB200 solutions in volume. This rapid product innovation allows the company to quickly integrate cutting-edge technologies and offer a wide choice of architectural platforms, fulfilling large-scale, complex orders within weeks and providing a significant competitive edge.
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Capital Allocation Decisions for Super Micro Computer (SMCI) (Last 3-5 Years)
Share Repurchases
- Super Micro Computer authorized a share repurchase program of up to $200 million on January 29, 2021, which was effective until July 31, 2022.
- In June 2025, the company repurchased approximately 4.9 million shares for an aggregate purchase price of $200.0 million, which were subsequently retired.
- A previous share repurchase program for $50 million was announced on November 3, 2020, valid until October 31, 2021.
Share Issuance
- Super Micro Computer issued 2028 and 2030 Convertible Notes, raising $683.7 million and $2,256.0 million respectively, to support its capital needs.
- The number of shares outstanding increased from 0.56 billion in 2022 to 0.628 billion in 2025, reflecting an overall increase in shares.
- The company executed a 10-for-1 forward stock split effective September 30, 2024, to enhance share liquidity.
Outbound Investments
- Super Micro Computer has made investments in various companies, often early-stage or private, particularly in emergent markets such as AI.
- The company continues to pursue investments in private companies to further strategic objectives and support key business initiatives.
Capital Expenditures
- Super Micro Computer's capital expenditures were $48.919 million in fiscal year 2021, $43.126 million in 2022, $33.717 million in 2023, $116 million in 2024, and $108 million in 2025.
- Expected capital expenditures for fiscal year 2026 are projected to be in the range of $180.0 million to $200.0 million.
- These expenditures primarily focus on supporting the rapid expansion of its global manufacturing footprint, including new facilities in Malaysia, and investing in advanced AI infrastructure solutions like direct liquid cooling.
Latest Trefis Analyses
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Trade Ideas
Select ideas related to SMCI. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11302025 | ENPH | Enphase Energy | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 16.1% | 16.1% | -0.9% |
| 11262025 | PD | PagerDuty | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 12.0% | 12.0% | 0.0% |
| 11212025 | CRM | Salesforce | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 16.7% | 16.7% | -0.1% |
| 11212025 | HUBS | HubSpot | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 12.8% | 12.8% | 0.0% |
| 11212025 | FIVN | Five9 | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 7.8% | 7.8% | 0.0% |
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Peer Comparisons for Super Micro Computer
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 94.50 |
| Mkt Cap | 58.9 |
| Rev LTM | 27,674 |
| Op Inc LTM | 2,633 |
| FCF LTM | 2,861 |
| FCF 3Y Avg | 2,156 |
| CFO LTM | 3,530 |
| CFO 3Y Avg | 3,430 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 11.4% |
| Rev Chg 3Y Avg | 5.1% |
| Rev Chg Q | 9.2% |
| QoQ Delta Rev Chg LTM | 2.2% |
| Op Mgn LTM | 14.6% |
| Op Mgn 3Y Avg | 14.1% |
| QoQ Delta Op Mgn LTM | -0.0% |
| CFO/Rev LTM | 16.2% |
| CFO/Rev 3Y Avg | 18.3% |
| FCF/Rev LTM | 13.2% |
| FCF/Rev 3Y Avg | 13.1% |
Price Behavior
| Market Price | $31.07 | |
| Market Cap ($ Bil) | 18.5 | |
| First Trading Date | 03/29/2007 | |
| Distance from 52W High | -48.8% | |
| 50 Days | 200 Days | |
| DMA Price | $40.36 | $42.57 |
| DMA Trend | down | down |
| Distance from DMA | -23.0% | -27.0% |
| 3M | 1YR | |
| Volatility | 63.7% | 86.2% |
| Downside Capture | 353.38 | 260.79 |
| Upside Capture | 110.40 | 221.42 |
| Correlation (SPY) | 56.7% | 47.0% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.40 | 2.90 | 2.80 | 2.35 | 2.03 | 2.28 |
| Up Beta | 3.73 | 3.07 | 2.24 | 1.25 | 1.36 | 1.68 |
| Down Beta | 7.27 | 3.86 | 4.02 | 4.43 | 2.21 | 2.19 |
| Up Capture | -207% | 72% | 139% | 119% | 555% | 11761% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 7 | 19 | 31 | 65 | 117 | 381 |
| Down Capture | 325% | 315% | 276% | 211% | 155% | 111% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 12 | 22 | 31 | 59 | 130 | 368 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of SMCI With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| SMCI | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -8.1% | 21.7% | 14.7% | 67.3% | 6.8% | -0.5% | -16.6% |
| Annualized Volatility | 85.7% | 27.8% | 19.7% | 19.3% | 15.2% | 17.6% | 35.4% |
| Sharpe Ratio | 0.28 | 0.69 | 0.57 | 2.54 | 0.23 | -0.18 | -0.25 |
| Correlation With Other Assets | 58.8% | 47.2% | -1.1% | 26.8% | 11.1% | 30.1% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of SMCI With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| SMCI | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 60.4% | 19.4% | 15.0% | 18.9% | 11.8% | 5.1% | 35.8% |
| Annualized Volatility | 81.0% | 24.7% | 17.1% | 15.5% | 18.7% | 18.9% | 48.9% |
| Sharpe Ratio | 0.94 | 0.71 | 0.71 | 0.98 | 0.51 | 0.18 | 0.63 |
| Correlation With Other Assets | 43.7% | 38.4% | 4.8% | 9.9% | 20.3% | 16.1% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of SMCI With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| SMCI | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 29.9% | 22.4% | 14.9% | 14.9% | 6.7% | 5.5% | 69.9% |
| Annualized Volatility | 68.8% | 24.2% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.69 | 0.85 | 0.71 | 0.84 | 0.30 | 0.23 | 0.90 |
| Correlation With Other Assets | 40.3% | 37.9% | 3.4% | 14.0% | 25.3% | 9.7% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 10/23/2025 | -8.7% | 0.4% | -39.9% |
| 8/5/2025 | -18.3% | -18.9% | -28.9% |
| 4/29/2025 | -11.5% | -8.5% | 14.3% |
| 2/11/2025 | 2.8% | 56.0% | 1.2% |
| 11/5/2024 | -18.1% | -21.7% | 48.5% |
| 8/6/2024 | -20.1% | -8.0% | -32.8% |
| 4/30/2024 | -14.0% | -4.6% | -3.6% |
| 1/18/2024 | 35.9% | 52.7% | 157.9% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 11 | 13 | 16 |
| # Negative | 13 | 11 | 8 |
| Median Positive | 12.5% | 16.9% | 23.5% |
| Median Negative | -10.2% | -7.7% | -18.1% |
| Max Positive | 35.9% | 56.0% | 157.9% |
| Max Negative | -20.1% | -21.7% | -39.9% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 11072025 | 10-Q 9/30/2025 |
| 6302025 | 8282025 | 10-K 6/30/2025 |
| 3312025 | 5122025 | 10-Q 3/31/2025 |
| 12312024 | 2252025 | 10-Q 12/31/2024 |
| 9302024 | 2252025 | 10-Q 9/30/2024 |
| 6302024 | 2252025 | 10-K 6/30/2024 |
| 3312024 | 5062024 | 10-Q 3/31/2024 |
| 12312023 | 2022024 | 10-Q 12/31/2023 |
| 9302023 | 11032023 | 10-Q 9/30/2023 |
| 6302023 | 8282023 | 10-K 6/30/2023 |
| 3312023 | 5052023 | 10-Q 3/31/2023 |
| 12312022 | 2032023 | 10-Q 12/31/2022 |
| 9302022 | 11042022 | 10-Q 9/30/2022 |
| 6302022 | 8292022 | 10-K 6/30/2022 |
| 3312022 | 5062022 | 10-Q 3/31/2022 |
| 12312021 | 2042022 | 10-Q 12/31/2021 |
Industry Resources
| Technology Hardware, Storage & Peripherals Resources |
| The Verge |
| TechRadar |
| Tom’s Hardware |
| PCMag |
| CNET |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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