NVIDIA Stock NASDAQ:NVDA, Earnings Estimates, EPS, and Revenue

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We have some significant supply chain flow to serve our significant customer demand that we see. And this is demand that we see across a wide range of different customers. What kind of sequential growth beyond the July quarter can your supply chain support at this point? Our earnings call to discuss the results of our second quarter of fiscal ’24 is scheduled for Wednesday, August 23rd. GAAP gross margins was 64.6%, and non-GAAP gross margins were 66.8%. Gross margins have now largely recovered to prior peak levels as we have absorbed higher costs and offset them by innovating and delivering higher-valued products, as well as products incorporating more and more software.

With GCP and Oracle, we have great partnerships in DGX Cloud for AI, and AI Enterprise is integrated into all three of them. And so, I think the — in order for us to extend the reach of AI beyond the cloud and into the world’s enterprise and into the world’s industries, you need two new types of — you need new software stacks in order to make that happen. As you know, the amount of libraries and frameworks that we accelerate is pretty mind-blowing.

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These quarterly earnings reports give investors a glimpse into financial results from a company for a 3 month period. Earnings reports almost always include EPS and Revenue results. Nvidia’s automotive division, including chips and software to develop self-driving cars, grew 114% year over year, but remains small at under $300 million in sales for the quarter.

You’re going to see that more and more companies realize they have a factory for intelligence — an intelligence factory. The difference in data center throughput is just — it’s too great to ignore. And so — however, if your data center is a cloud data center and it’s multi-tenant, it’s a bunch of little jobs, a bunch of little jobs and is shared by millions of people, then ethernet is really the right answer. If that data center is running a few applications for a few people for a specific use case and is doing it continuously, and that infrastructure costs you, pick a number, $500 million. The difference between InfiniBand and ethernet could be 15%, 20% in overall throughput. And if you spent $500 million on an infrastructure and the difference is 10% to 20%, and it’s $100 million, InfiniBand’s basically free.

Key Expected Earnings Data

To help customers deploy generative AI applications at scale, at GTC, we announced four major new inference platforms that leverage the NVIDIA AI software stack. These include L4 Tensor Core GPU for AI video; L40 for Omniverse and graphics rendering, H100 NBL for large language models; and the Grace Hopper Superchip for LLM and also recommendation systems and vector databases. In addition, Google is integrating our Triton Inference Server with Google Kubernetes engine and its cloud-based Vertex AI platform. That growth reflected strong demand from large consumer internet companies and cloud service providers for its graphics processing units and related tech, Chief Financial Officer Colette Kress said in a statement. Customers are using its chips for artificial intelligence applications, including generative AI, she said. We can see in real time the growth of generative AI in CSPs, both for training the models, refining the models, as well as deploying the models.

I’m guessing it’s more of a supply problem at this point. We have held opex at roughly the same level over the last — past four quarters while working through the inventory corrections in gaming and professional visualization. We now expect to increase investments in the business while also delivering operating leverage. We returned 99 million to shareholders in the form of cash dividends.

After much success in his own personal investments, he retired from his day job in financial services and is currently focused on new private investments. His favorite PC game of all time is Duke Nukem 3D, and he is an unapologetic fan of most things Nintendo. Asif first frequented the Shack when it was sCary’s Shugashack to find all things Quake. When he is not immersed in investments or gaming he is a purveyor of fine electronic music. Asif also has an irrational love of Cleveland sports. “Nvidia absolutely blew away prior expectations with their guide,” Wedbush Securities analyst Matt Bryson said in a note to clients.

The second part is that generative AI is a large-scale problem and it’s a data center scale problem. It’s another way of thinking that the computer is the data center or the data center is the computer. NVIDIA’s value proposition at the core is we are the lowest cost solution. And the reason for that is because accelerated computing is two things that I talked about often, which is it’s a full stack problem.

NVIDIA Corp.

Our partnership with the three CSPs and that we currently have DGX Cloud in and their sales force and marketing teams, their leadership teams is really quite spectacular. And in that particular case, it’s largely dedicated to training and processing data and vectorizing data and learning representation of the data, so on and so forth. The inference part of it are APIs that are either open APIs that can be connected to all kinds of applications, APIs that are integrated into workflows but APIs of all kinds. But obviously, these are very — three very important ones.

• Revenue of $7.2 billion also came in above estimates.
• That’s way above analyst Q revenue expectations of $7.2 billion.
• “Our entire data center family of products — H100, Grace CPU, Grace Hopper Superchip, NVLink, Quantum 400 InfiniBand and BlueField-3 DPU — is in production.
• Earnings Estimates are an important tool used to evaluate the overall strength and value of a stock.
• Sequentially, growth moderated as some NAV customers in China are adjusting their production schedules to reflect lower-than-expected demand growth.

And we benefit by getting customers on our computing platform, and they benefit by having us in their cloud, number one. But number two, the amount of data and services and security services and all of the amazing things that Azure and GCP and OCI have, they can instantly have access to that through Omniverse Cloud. The simple way to think about it in the end is that the world has a $1 trillion of data center installed, and it used to be 100% CPUs.

NVIDIA’s earnings are expected to grow from $6.33 per share to $9.14 per share in the next year, which is a 44.39% increase. Enter your email address below to receive the latest headlines and analysts’ recommendations for your stocks with our free daily email newsletter. Researching stocks has never been so easy or insightful as with the ZER Analyst and Snapshot reports. Using Wall Street Horizon historical data as a primary data source, independent academic studies have shown that market volatility can be anticipated by the scheduling and revisions in corporate events. Wall Street Horizon’s historical event data are the industry’s largest, most detailed, and most accurate listings of this type of event data. Data is available from 2006-present — historical timeframes vary per dataset.

NVIDIA (NVDA)

And we integrate our architecture into all the world’s clouds. From the moment of delivery of the product to the standing up and the deployment, the time to operations of a data center is measured not — it can — if you’re not good at it and not proficient at it, it could take months. https://g-markets.net/helpful-articles/hammer-and-inverted-hammer-candlestick-patterns/ But at the same time, we’re seeing incredible orders to retool the world’s data centers. And so, I think you’re starting — you’re seeing the beginning of, call it, a 10-year transition to basically recycle or reclaim the world’s data centers and build it out as accelerated computing.

Keep it locked on Shacknews for all the technology and gaming financial news as it breaks. Nvidia ranks fourth out of 37 stocks in IBD’s fabless semiconductor industry group, according to IBD Stock Checkup. NVDA stock has an IBD Composite Rating of 98 out of 99. Wall Street analysts gushed about Nvidia’s beat-and-raise report. In the first quarter, Nvidia’s data-center sales rose 14% year over year to $4.28 billion. Get stock recommendations, portfolio guidance, and more from The Motley Fool’s premium services.

“Nvidia delivered strong upside in terms of reported fiscal Q1 results, as well as fiscal Q2 guide,” Wells Fargo analyst Aaron Rakers said in a note to clients. He called Nvidia’s report “positive” in all caps with an exclamation point. Meanwhile, Nvidia’s gaming-chip business saw sales decline 38% year over year to $2.24 billion in the first quarter. The decrease was the result of weaker demand due to the macroeconomic slowdown and lower shipments to normalize channel inventory levels, Kress said.

• And there’s just a whole bunch of stuff that you have to do to the data to prepare it for training.
• NVIDIA (NVDA) is scheduled to report earnings on August 23, 2023.
• The Average Estimate for each time period is the average for the total number of contributing analysts.
• The Santa Clara, Calif.-based company late Wednesday said it earned an adjusted $1.09 a share on sales of $7.19 billion in the quarter ended April 30.

During this call, we may make forward-looking statements based on current expectations. Browse earnings estimates, EPS, and revenue on all stocks. However, Nvidia’s gaming division, which includes the company’s graphics cards for PC sales, reported a 38% drop in revenue to $2.24 billion in sales versus expectations of $1.98 billion. Nvidia blamed the decline on a slower macroeconomic environment as well as the ramp up of the company’s latest GPUs for gaming. Investors and others should note that we announce material financial information to our investors using our investor relations website, press releases, SEC filings and public conference calls and webcasts. The information we post through these social media channels may be deemed material.

Stock Gainers & Losers

Generative AI is a major new workload for NVIDIA-powered workstation. Our collaboration with Microsoft transforms Windows into the ideal platform for creators and designers harnessing generative AI to elevate their creativity and productivity. At GTC, we announced NVIDIA Omniverse Cloud and NVIDIA Fully Managed Service, running in Microsoft Azure, that includes the full suite of Omniverse applications and NVIDIA OVX infrastructure.

At the end of Q1, we have approximately 7 billion remaining under our share repurchase authorization through December 2023. NVIDIA Omniverse Cloud will be available starting in the second half of this year. Microsoft NVIDIA will also connect Office365 applications with Omniverse. Omniverse Cloud is being used by companies to digitize the workflows from design and engineering to smart factories and 3D content generation for marketing.

But on our GPUs, the system boards have 35,000 other components. The — remember, we were in full production of both Ampere and Hopper when the ChatGPT moment came. Number one, where are we in terms of driving acceleration into servers to support AI? My name is David, and I’ll be your conference operator today.