Nvidia’s AI-Boosted Stock Soars, Triples Earnings Multiple Over Tesla’s, 2023.
In 2023, amidst the tech sector’s recovery from last year’s downturn, Nvidia has emerged as a standout performer. Fueled by its longstanding lead in AI chips and software coveted by Silicon Valley, Nvidia’s stock has surged 180% this year, surpassing all S&P 500 members.
With a market value exceeding $1 trillion, Nvidia ranks fifth among the top U.S. companies, trailing only Amazon, Apple, Microsoft, and Alphabet.
Despite its lesser household recognition, Nvidia’s core technology underpins the disruptive force of innovations like ChatGPT. OpenAI’s viral chatbot, backed by Microsoft, and other AI models rely on Nvidia’s GPUs for optimal performance.
The company’s H100 chips, valued at around $40,000 each, have been rapidly adopted by major players such as Microsoft and OpenAI.
Piper Sandler analyst Harsh Kumar highlights Nvidia’s superior GPUs, affirming its leadership in the field. However, the stock’s impressive trajectory and relentless demand have raised concerns about inflated expectations.
Nvidia’s price-to-earnings (P/E) ratio 220 over the past year stands remarkably high even within the tech sector, dwarfing Amazon’s 110 and Tesla’s 70.

Should Nvidia meet analysts’ projections, its current valuation appears more reasonable, with a P/E ratio 42 for the next 12 months of earnings, compared to Amazon’s 51 and Tesla’s 58. Anticipation is mounting ahead of Nvidia’s upcoming earnings report, with analysts forecasting a 65% year-on-year surge in quarterly revenue to $11.08 billion.
Investors are banking on Nvidia’s ability to navigate the AI wave and fend off rivals like Google and AMD. However, the stock’s recent 8.6% weekly dip, outpacing the Nasdaq’s 1.9% decline, has raised caution.
This decline, the sharpest since September of the previous year, prompts reflection on whether Nvidia’s exceptional achievements are already factored into its market performance.

WisdomTree analyst Christopher Gannatti underscores the challenge of meeting high investor expectations.
As Nvidia’s momentum continues, uncertainties remain, including competition and potential market fluctuations. The excitement surrounding Nvidia’s accomplishments may already be woven into its current performance.
Nvidia’s remarkable stock surge in the current year is undoubtedly impressive, yet the staggering growth over the past decade truly captures attention. Ten years ago, Nvidia’s market value stood at a mere $8.4 billion, a fraction of its chip industry counterpart Intel.
In contrast, Nvidia’s value has skyrocketed by a staggering 11,170% over the past decade, expanding its worth to seven times greater than its rival, Intel.
For perspective, Tesla, responsible for propelling CEO Elon Musk to the title of the world’s wealthiest individual, has experienced a 2,279% increase in its stock value.
Notably, Nvidia’s CEO and founder, Jensen Huang, has also reaped substantial gains, with his net worth surging to $38 billion, positioning him at the 33rd spot on the Bloomberg Billionaires index.
Nvidia’s evolution traces back to its origins in 1993 when it gained recognition for producing pivotal technology in video games. Its innovation was rooted in creating processors that facilitated intricate graphics rendering for computer games.
The company’s hallmark product became the graphics card—a component embedded within consumer PCs and laptops.

Even today, the gaming industry remains a significant revenue source, with Nvidia reporting gaming sales exceeding $9 billion in fiscal 2023.
However, this figure reflects a 27% decline year-on-year, primarily attributed to robust graphics card sales during the initial pandemic when individuals upgraded their home systems. Despite this, Nvidia’s core gaming sector continues to contract.
The real intrigue driving Wall Street’s enthusiasm lies beyond gaming—it’s Nvidia’s burgeoning AI business, nestled within its data centre division. This segment observed a 41% sales surge in the previous year, reaching an impressive $15 billion, surpassing gaming.
Analysts surveyed by FactSet anticipate a more than twofold growth to $31.27 billion in fiscal 2024. Impressively, analysts estimate Nvidia commands over 80% of the AI chip market.
However, Nvidia’s pivot towards AI chips didn’t materialize overnight—it’s a culmination of a 15-year journey. In 2007, the company unveiled CUDA, a software package and programming language allowing programmers to harness a GPU chip’s hardware capabilities.
This tool proved highly effective for training and executing AI models, with CUDA emerging as an integral aspect of the training process.
When AI enterprises and developers employ Nvidia’s GPUs and CUDA to construct their models, they establish a substantial barrier against shifting to competitors like AMD’s chips or Google’s Tensor Processing Units (TPUs).
According to Patrick Moorhead, a semiconductor analyst at Moor Insights, Nvidia has positioned itself with a dual advantage—a top-tier training hardware performance and indispensable software components, namely libraries and CUDA, which are pivotal in the AI landscape.
As Nvidia continues its upward trajectory in valuation, the company is taking strategic measures to solidify its dominant position and fulfil its high expectations.
In June, Nvidia’s CEO, Jensen Huang, engaged in a significant dinner meeting with Morris Chang, the chairman of Taiwan Semiconductor Manufacturing Co. (TSMC), to ensure its competitive edge. TSMC is the world’s leading chip manufacturer for semiconductor companies, and it plays a pivotal role in crafting Nvidia’s essential products.
Following the dinner, Huang expressed confidence in relying on TSMC, suggesting that the company had effectively secured the necessary supply chain to meet its demands.
Beyond securing its supply chain, Nvidia has transitioned into a robust player in startup investments, mainly focusing on companies specializing in AI models.
Throughout 2023, Nvidia has invested in at least 12 startups, according to Pitchbook data. These investments encompass prominent AI enterprises such as Runway, which specializes in AI-driven video editing; Inflection AI, founded by a former DeepMind executive; and CoreWeave, a cloud service provider offering access to Nvidia GPUs.
These strategic investments boost Nvidia’s future sales, diversify its clientele, and establish a burgeoning customer base.
These startups are evidencing soaring demand for Nvidia’s technology, indicating a robust appetite for applications centred around generative AI and GPU-intensive tasks.
Piper Sandler analyst Harsh Kumar highlighted CoreWeave’s revelation that despite achieving $30 million in revenue in the previous year, the company has already secured a staggering $2 billion in contracted business for the coming year.
This underscores the burgeoning interest in GPU applications, particularly within the generative AI and voice-search domains.
Currently, Nvidia finds itself amid its GPU architecture cycle, with the H100, its latest high-end AI chip, operating on the Hopper architecture. While Hopper was unveiled in March 2022, Nvidia has signalled the arrival of its successor in 2024.
Notably, major cloud providers such as Google, Microsoft, and Amazon are poised to make substantial investments in expanding their data centres, primarily reliant on Nvidia GPUs.
The launch of ChatGPT in late 2022 has further accentuated the demand for Nvidia’s GPUs, leading to an almost insatiable desire for the H100 chip. Jensen Huang likened ChatGPT’s release’s impact to the iPhone’s transformative effect, heralding a new era in generative AI.
However, despite investor enthusiasm and confidence in Nvidia’s narrative, recent market volatility has demonstrated that shareholders remain vigilant and are swift to respond to any hiccups in the company’s performance or broader market conditions.
As Nvidia marches forward, balancing innovation with stability remains a crucial challenge in sustaining its impressive trajectory.








