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Nvidia Smashes Estimates as AI Chips Demand Grows

Your capital is at risk if you invest. You could lose all your investment. Please see the full risk warning here.

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.

Your capital is at risk if you invest. You could lose all your investment. Please see the full risk warning here.

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Violeta Todorova

Senior Research

Violeta è entrata a far parte di Leverage Shares nel settembre 2022. È responsabile dello svolgimento di analisi tecniche e ricerche macroeconomiche ed azionarie, fornendo pregiate informazioni per aiutare a definire le strategie di investimento per i clienti.

Prima di cominciare con LS, Violeta ha lavorato presso diverse società di investimento di alto profilo in Australia, come Tollhurst e Morgans Financial, dove ha trascorso gli ultimi 12 anni della sua carriera.

Violeta è un tecnico di mercato certificato dall’Australian Technical Analysts Association e ha conseguito un diploma post-laurea in finanza applicata e investimenti presso Kaplan Professional (FINSIA), Australia, dove è stata docente per diversi anni.

Julian Manoilov

Marketing Lead

Julian è entrato a far parte di Leverage Shares nel 2018 come parte della prima espansione della società in Europa orientale. È responsabile della progettazione di strategie di marketing e della promozione della notorietà del marchio.

Oktay Kavrak

Head of Communications and Strategy

Oktay è entrato a far parte di Leverage Shares alla fine del 2019. È responsabile della crescita aziendale, mantenendo relazioni chiave e sviluppando attività di vendita nei mercati di lingua inglese.

È entrato in LS da UniCredit, dove è stato responsabile delle relazioni aziendali per le multinazionali. La sua precedente esperienza è in finanza aziendale e amministrazione di fondi in società come IBM Bulgaria e DeGiro / FundShare.

Oktay ha conseguito una laurea in Finanza e contabilità ed un certificato post-laurea in Imprenditoria presso il Babson College. Ha ottenuto anche la certificazione CFA.

Sandeep Rao

Research
Sandeep è entrato a far parte di Leverage Shares nel settembre 2020. È responsabile della ricerca sulle linee di prodotto esistenti e nuove, su asset class e strategie, con particolare riguardo all’analisi degli eventi attuali ed i loro sviluppi. Sandeep ha una lunga esperienza nei mercati finanziari. Iniziata in un hedge fund di Chicago come ingegnere finanziario, la sua carriera è proseguita in numerose società ed organizzazioni, nel corso di 8 anni – da Barclays (Capital’s Prime Services Division) al più recente Index Research Team di Nasdaq. Sandeep detiene un M.S. in Finanza ed un MBA all’Illinois Institute of Technology di Chicago.

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