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Nvidia Smashes Estimates as AI Chips Demand Grows

Nvidia reported exceptionally strong quarterly financial results on Wednesday, surpassing even the most optimistic projections for second quarter revenue. This outstanding performance was fuelled by the growing enthusiasm surrounding generative artificial intelligence. The company’s provided upbeat guidance, as the competitive race to implement generative artificial intelligence technology continues to drive heightened demand for Nvidia’s chips.

In a strategic move underscoring confidence in their market position, Nvidia announced a commitment to repurchase an additional $25 billion worth of its own shares. This ongoing stock buyback initiative is anticipated to persist throughout the year, notwithstanding the fact that Nvidia’s stock valuation has surged by over threefold within this year alone. Such actions serve as indicators of the management’s belief that the company is currently undervalued.

For the second quarter, Nvidia reported earnings per share (EPS) of $2.70, surpassing analyst projections by $0.63 from the anticipated $2.07. The company’s revenue for the quarter amounted to $13.51 billion, exceeding the consensus estimate of $11.13 billion. Looking ahead, Nvidia projects a third quarter revenue of $16.00 billion, notably higher than the analyst consensus of $12.61 billion. Given the ongoing supply-demand dynamics, there is a possibility that the company might outperform its own guidance for the upcoming quarter.

The high-margin data centre segment witnessed a remarkable 171% surge, reaching a record $10.32 billion in the second quarter compared to the corresponding period last year. This substantial growth is attributed to the corporate transition towards accelerated computing and generative AI, supplanting traditional general-purpose computing.

As the demand for AI-related technologies intensifies, Nvidia’s suite of AI-oriented offerings, encompassing chips and a cloud service for training generative AI models, has emerged as the dominant choice for startups and businesses venturing into the AI sphere.

Nvidia has outlined plans to scale up hardware production well into the upcoming year. The company has effectively monopolized the computing systems pivotal for powering services like ChatGPT and OpenAI. This demand surge is primarily propelled by the shift from conventional central processor-based data centres to Nvidia’s potent chips, coupled with the expanding utilization of AI-generated content.

The heightened demand for these chips has propelled Nvidia’s financial standing, as evidenced by an adjusted gross margin of 71.2% in the second quarter. This figure stands in stark contrast to the gross margins ranging between 50% and 60% typically observed within the semiconductor sector.

Nvidia attributes its significant sales momentum in this period to the HGX system, an intricate computer system built around Nvidia’s proprietary chip. This comprehensive system’s complexity underscores the potential impact of any component shortfall on shipment timelines.

These latest financial outcomes also indicate an imminent surge in enterprise investment in AI. This trend is expected to benefit various AI-focused companies such as Microsoft, Google, Apple Inc., Oracle, Palantir Technologies Inc., MongoDB, Snowflake Inc., Salesforce, Advanced Micro Devices Inc., and C3.AI, among others.

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Source: TradingView, Nvidia Yearly Chart

Nvidia’s shares have surged threefold in value over the course of this year, largely fuelled by an exceptionally positive forecast in May that lifted the company’s market capitalization beyond the $1 trillion mark—a valuation comparable to tech giants like Amazon and Apple.

The better-than-expected guidance provided by Nvidia could serve as the catalyst to sustain this upward momentum, potentially extending the ongoing rally throughout the remainder of the year.

Active traders looking for magnified exposure to NVIDIA may consider our +3x Long NVIDIA and -3x Short NVIDIA ETPs.

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Violeta Todorova

Senior Research

Violeta a rejoint Leverage Shares en septembre 2022. Elle est chargée de mener des analyses techniques et des recherches sur les actions et macroéconomiques, fournissant des informations importantes pour aider à façonner les stratégies d’investissement des clients.

Avant de rejoindre LS, Violeta a travaillé dans plusieurs sociétés d’investissement de premier plan en Australie, telles que Tollhurst et Morgans Financial, où elle a passé les 12 dernières années de sa carrière.

Violeta est une technicienne de marché certifiée de l’Australian Technical Analysts Association et est titulaire d’un diplôme d’études supérieures en finance appliquée et investissement de Kaplan Professional (FINSIA), Australie, où elle a été conférencière pendant plusieurs années.

Julian Manoilov

Marketing Lead

Julian a étudié l’économie, la psychologie, la sociologie, la politique européenne et la linguistique. Il possède de l’expérience en matière de développement commercial et de marketing grâce à des entreprises qu’il a lui-même créées.

Pour Julian, Leverage Shares est une entreprise innovante dans le domaine de la finance et de la fintech, et il se réjouit toujours de partager les prochaines grandes avancées avec les investisseurs du Royaume-Uni et d’Europe.

Oktay Kavrak

Head of Communications and Strategy

Oktay a rejoint Leverage Shares fin 2019. Il est responsable de la croissance de l’activité à travers des relations clés et le développement de l’activité commerciale sur les marchés anglophones. 

Il a rejoint LS après UniCredit, où il était responsable des relations avec les entreprises pour les multinationales. Il a également travaillé au sein de sociétés telles qu’IBM Bulgarie et DeGiro / FundShare dans le domaine de la finance d’entreprise et de l’administration de fonds.

Oktay est titulaire d’une licence en finance et comptabilité et d’un certificat d’études supérieures en entrepreneuriat du Babson College. Il est également détenteur de la certification CFA.

Sandeep Rao

Recherche

Sandeep a une longue expérience des marchés financiers. Il a débuté sa carrière en tant qu’ingénieur financier au sein d’un hedge fund basé à Chicago. Pendant huit ans, il a travaillé dans différents domaines et organisations, de la division Prime Services de Barclays Capital à l’équipe de recherche sur les indices du Nasdaq (plus récemment).

Sandeep est titulaire d’un master spécialisé en finance et d’un master en administration des affaires de I’Institut de technologie de Chicago.

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