Most Active Stocks After Hours on October 20, 2025: SOFI, AMZN, KMI, AUR, NU, OKLO, HPE, LRN, KVUE, QQQ, HOOD, NVDA
NASDAQ 100 After Hours Performance: The NASDAQ 100 After Hours Indicator is up 4.16 to 25,145.18, with a total after-hours volume of 131,009,346 shares traded.
Active Stocks Overview: SoFi Technologies (SOFI) is up 0.06 at $28.74, while Amazon (AMZN), Kinder Morgan (KMI), and others remain unchanged. Notably, SOFI's last sale is significantly above its target price.
Earnings Reports and Forecasts: Kinder Morgan is set to report earnings on 10/22/2025, with a forecasted EPS increase of 25% year-over-year. Robinhood Markets (HOOD) has seen upward revisions in earnings forecasts for the same quarter.
Stock Recommendations: Several stocks, including Nu Holdings (NU), Stride (LRN), and NVIDIA (NVDA), are currently in the "buy range" according to Zacks, indicating positive market sentiment.
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- Strong Earnings Report: Super Micro Computer (SMCI) reported a remarkable 123% year-over-year revenue increase, driving its stock price up to $33.76, reflecting robust demand for AI infrastructure and boosting investor confidence.
- Upgraded Revenue Guidance: The company raised its full-year revenue guidance to at least $40 billion, indicating that AI-driven growth is sustainable, although ongoing margin pressures remain a concern for investors.
- Surge in Trading Volume: Trading volume reached 115 million shares, approximately four times the three-month average, highlighting strong market interest in Super Micro's growth potential.
- Impact of Competitive Pressures: Despite the impressive earnings, the company's gross margin declined compared to both the previous quarter and the same period last year, prompting investors to monitor how management will stabilize margins while maintaining growth.
- Earnings Call Schedule: HPE is set to hold a conference call on March 9, 2026, at 4:00 PM CT to review its financial results for Q1 fiscal 2026, which is expected to draw significant attention from analysts and investors.
- Webcast Details: The call will be available via live audio webcast on HPE's website, allowing investors to tune in at www.hpe.com/investor/2026Q1Webcast, thereby enhancing transparency and engagement with stakeholders.
- Replay Availability: A replay of the webcast will be accessible shortly after the call and will remain available for approximately one year, providing an opportunity for investors who cannot attend live to review the information.
- Company Overview: HPE is a leader in essential enterprise technology, integrating AI, cloud, and networking to empower customers across industries to optimize operational performance and transform data into actionable insights, maximizing their business impact.
- Significant Revenue Growth: TSMC's Q4 revenue surged 25.5% year-over-year to $33.73 billion, with a gross margin of 62.3%, reflecting strong market demand and profitability, thereby reinforcing its leadership position in the semiconductor industry.
- Capital Expenditure Plans: Management anticipates capital spending between $52 billion and $56 billion in 2026, with approximately 40% of revenue allocated to capital expenditures, indicating strong confidence in future growth and ongoing investment in the AI market.
- Increase in Advanced Process Share: Three-nanometer chips accounted for 28% of total wafer revenue, five-nanometer for 35%, and seven-nanometer for 14%, totaling 77% of revenue from the most advanced processes, highlighting the robust demand driven by AI applications and TSMC's technological edge.
- Geopolitical Risk Management: TSMC is actively expanding into the U.S. and Japan to reduce reliance on Taiwan, enhancing the stability and resilience of its global supply chain, ensuring competitiveness in a rapidly changing market environment.
- Revenue Recovery Solution: Iterate.ai's Generate for Healthcare, launched in partnership with TD SYNNEX and HPE, aims to help hospital systems identify and recover millions in unpaid and underpaid insurance claims, addressing a critical financial challenge in the healthcare sector.
- Technological Architecture Advantage: The solution, built on HPE Private Cloud AI and NVIDIA technology, seamlessly integrates with multiple EMR systems to identify payment gaps and coding errors in real-time, significantly enhancing financial transparency and operational efficiency for hospitals.
- Market Opportunity: The implementation cost of Generate for Healthcare represents only 0.1% of net patient revenue, providing healthcare organizations with a substantial revenue opportunity while helping partners stand out in a competitive market.
- Strategic Collaboration: By partnering with HPE and TD SYNNEX, Iterate.ai can rapidly bring this solution to market, ensuring hospitals can quickly deploy it and realize financial benefits, further solidifying its leadership position in the healthcare AI space.
- Strategic Collaboration: HPE has partnered with New Zealand's telecommunications provider 2degrees to accelerate AI-driven innovation by developing a purpose-built private AI platform, modernizing their technology environment while enhancing security and ensuring data sovereignty.
- Platform Benefits: The new platform, built on HPE Private Cloud AI and co-developed with NVIDIA, enables dynamic resource allocation, optimizes network performance, and reduces internal development cycles, allowing for faster product and service launches that enhance customer experience.
- Commitment to Data Sovereignty: This collaboration underscores 2degrees' commitment to data sovereignty, ensuring that New Zealand customer and operational data is stored locally, complying with increasingly complex global data regulations and strengthening the company's competitive position in the market.
- AI Application Prospects: Initial AI use cases include autonomous network operations and predictive maintenance, with 2degrees already seeing significant results across multiple areas, driving the network towards a smarter, more resilient, and self-driving future to better serve customers across New Zealand.
- Surging Power Demand: The IEA projects that global energy consumption for data centers will double by 2030, highlighting the urgent need for infrastructure investment and creating significant opportunities for energy investments.
- Accelerated Construction: Despite concerns about 'overbuilding,' data shows that existing data centers are insufficient to meet the demands of AI and other intensive computing applications, indicating continued market growth potential.
- Diverse Investment Opportunities: Analysts suggest that investors can gain exposure to the data center buildout by focusing on related companies like Hewlett Packard Enterprise, especially in the context of rapid AI data center development.
- Energy Self-Sufficiency: Major tech firms like Microsoft and Amazon are taking control of energy costs by building or acquiring nuclear facilities, a trend that could reshape the energy supply landscape for data centers and reduce long-term operational costs.










