Revenue segments as reported by the company.

Gaming

Professional Visualization

Datacenter

Auto

OEM & IP

Revenue Segments

Gross Profit, Operating Income, and Net Income as a percentage of Revenue

Gross Margin

Operating Margin

Profit Margin

Margins

An operating expense is an expense a business incurs through its normal business operations. Often abbreviated as OPEX.

SG&A

Acquisition termination cost

Operating Expenses

Year over year growth in Revenue and Operating Expenses.

Revenue Y/Y

OpEx Y/Y

Growth

Cash & Short Term Investments

Shares outstanding refer to a company's stock currently held by all its shareholders, including share blocks held by institutional investors and restricted shares owned by the company's officers and insiders.

Outstanding Shares

Market Cap

Also known as Price/Sales Ratio. Calculated using Average market cap for the quarter / Annualized quarterly revenue.

Revenue Multiple

NVIDIA

NVIDIA Corp. engages in the design and manufacture of computer graphics processors, chipsets, and related multimedia software. It operates through the following segments: Graphics Processing Unit (GPU), Tegra Processor, and All Other. The GPU segment comprises of product brands, which aims specialized markets including GeForce for gamers; Quadro for designers; Tesla and DGX for AI data scientists and big data researchers; and GRID for cloud-based visual computing users. The Tegra Processor segment integrates an entire computer onto a single chip, and incorporates GPUs and multi-core CPUs to drive supercomputing for autonomous robots, drones, and cars, as well as for consoles and mobile gaming and entertainment devices. The All Other segment refers to the stock-based compensation expense, corporate infrastructure and support costs, acquisition-related costs, legal settlement costs, and other non-recurring charges. The company was founded by Jen Hsun Huang, Chris A. Malachowsky, and Curtis R. Priem in January 1993 and is headquartered in Santa Clara, CA.

Earnings data Q4 2021

Earnings data Q1 2022

Earnings data Q2 2022

Earnings data Q3 2022

Earnings data Q4 2022

Earnings data Q1 2023

Earnings data Q2 2023

Earnings data Q3 2023

Earnings data Q4 2023

Earnings data Q1 2024

Earnings data Q2 2024

Earnings data Q3 2024

Earnings data Q4 2024

Earnings data Q1 2025

Earnings data Q2 2025

Earnings data Q3 2025

NVDA reports record data center revenue and outlines AI opportunities

NVDA's Q1 2023 earnings call showcased strong performance, particularly in data center revenue and gross margins. While the company faces challenges in supply chain support and competitive landscape, opportunities in accelerated computing and generative AI are key focus areas for future growth.

NVIDIA reports record Q2 revenue, faces regulatory challenges in China

NVIDIA's Q2 performance reflects robust revenue growth, particularly in the Data Center, Gaming, and AI segments. While facing potential regulatory challenges and supply constraints, the company's strategic partnerships and focus on accelerated computing and generative AI position it for continued success and expansion.

NVIDIA achieves record Q3 revenue, navigates export challenges for growth

NVIDIA's Q3 showcased robust performance in data center, gaming, and ProViz segments, while facing challenges from export control regulations. The company is actively pursuing opportunities in new markets and deepening collaborations to drive future growth.

NVIDIA reports steady Q4 revenue growth, eyes AI infrastructure expansion

NVIDIA delivered solid Q4 results with revenue growth across key segments, showcasing resilience and market strength.
The company faces challenges in managing rising expenses and sustaining growth momentum amidst market dynamics and technological shifts.
However, NVIDIA's strategic partnerships, innovative offerings, and outlook for future growth position it well to capitalize on expanding opportunities.
By focusing on AI infrastructure, cloud services, and cutting-edge technologies, NVIDIA remains at the forefront of driving industry transformation and innovation.

NVIDIA reports robust Q1 earnings, eyes growth in generative AI

NVIDIA's Q1 performance showcased strong revenue growth, particularly in data center and gaming segments.
The company's focus on accelerated computing, generative AI, and software offerings underpins its competitive edge.
While facing market challenges, NVIDIA is well-positioned to capitalize on opportunities in AI workloads and architecture partnerships.

NVIDIA reports record Q2 revenue, eyes growth in AI technologies

NVIDIA's Q2 performance reflects robust growth across key segments, underpinned by strong revenue, strategic partnerships, and a focus on transformative technologies.
While facing challenges like potential export regulations and fluctuating automotive revenue, NVIDIA is well-positioned to leverage opportunities in accelerated computing, AI, and software integration.
The company's emphasis on innovation, collaboration, and market expansion sets the stage for continued success, with Q3 revenue outlook and product demand indicating a positive trajectory for NVIDIA.
By navigating challenges, capitalizing on opportunities, and leveraging strengths in technology and partnerships, NVIDIA remains at the forefront of driving growth and innovation in the semiconductor industry.

NVIDIA reports record Q3 revenue, eyes data center growth

NVIDIA's Q3 performance reflects robust revenue growth across key segments, driven by strong demand and innovative product offerings.
While facing challenges from export regulations and seasonality, the company's strategic strengths in technology, partnerships, and operational efficiency position it well for future growth.
With a focus on expanding data center opportunities, advancing AI capabilities, and navigating regulatory complexities, NVIDIA is poised to capitalize on industry trends and drive continued success.

NVIDIA reports record Q4 earnings, eyes AI growth opportunities

NVIDIA's Q4 2024 was exceptional, driven by record revenue, particularly in Data Center and Gaming segments.
Despite challenges like U.S. government restrictions, NVIDIA is adapting and focusing on accelerated computing and generative AI.
The company's strong software business, collaborations, and strategic positioning in AI offer promising growth opportunities.
With a robust outlook for fiscal year 2025 and a focus on AI-centric industries, NVIDIA is poised for continued success and innovation.

NVIDIA reports record Q1 revenue, eyes sustained growth opportunities

NVIDIA's Q1 performance reflects robust revenue growth across key segments, showcasing market acceptance and strong positioning.
While facing supply constraints and future innovation challenges, NVIDIA's technology leadership and partnerships position them for sustained growth.
Opportunities in expanding sectors and advancements in chip design and networking technology offer avenues for future growth and differentiation.

NVIDIA reports record Q2 revenue, eyes growth with AI focus

NVIDIA's Q2 2025 earnings call showcased exceptional revenue growth across key segments, driven by strong Data Center and Gaming performance.
The company's focus on generative AI, accelerated computing, and upcoming Blackwell platform positions it well for future growth.
While facing margin variability and integration challenges, NVIDIA's strategic emphasis on AI technologies presents significant revenue opportunities.

Revenue

Cost of revenue

Gross profit

Operating expenses

Other

Operating income

EBITDA

Net income

Earnings per share

Total assets

Current assets

Cash & equivalents

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Total equity

Stockholders equity

Minority interest

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Total debt

Net debt

Book value per share

Cash from operations

Funds from operations

Change in working capital

Cash from investing

Capital expenditure

Purchase/sale of investments

Purchase/sale of business

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Change in stock

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Cash dividends paid

Cash from other sources

Net change in cash

Free cash flow

NVIDIA Corp. engages in the design and manufacture of computer graphics processors, chipsets, and related multimedia software. It operates through the following segments: Graphics Processing Unit (GPU) and Compute & Networking. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, Quadro and NVIDIA RTX GPUs for enterprise workstation graphics, virtual GPU, or vGPU, software for cloud-based visual and virtual computing, automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating metaverse and 3D internet applications. The Compute & Networking segment consists of Data Center accelerated computing platforms and end-to-end networking platforms including Quantum for InfiniBand and Spectrum for Ethernet, NVIDIA DRIVE automated-driving platform and automotive development agreements, Jetson robotics and other embedded platforms, NVIDIA AI Enterprise and other software, and DGX Cloud software and services. The company was founded by Jen Hsun Huang, Chris A. Malachowsky, and Curtis R. Priem in April 1993 and is headquartered in Santa Clara, CA.

Alphabet

Nvidia Corp. NVDA, -0.99% said Tuesday it was launching four new platforms that allowed developers to build specialized artificial intelligence models. At Nvidia's annual GTC developer conference, Chief Executive Jensen Huang introduced the L4 for AI video, the L40 for image generation, the H100 NVL for large language model deployment, and Grace Hopper for recommendation models.

Nvidia launches new AI platforms, with Google Cloud as an early adopter

Graphics-chip maker Nvidia on Tuesday demonstrated how its technology is advancing artificial intelligence in myriad industries. The post Nvidia Ramps Up Artificial Intelligence Offerings Amid AI's 'iPhone Moment' appeared first on Investor's Business Daily.

Nvidia Ramps Up Artificial Intelligence Offerings Amid AI's 'iPhone Moment'

NVIDIA H100 GPUs Now Being Offered by Cloud Giants to Meet Surging Demand for Generative AI Training and Inference; Meta, OpenAI, Stability AI to Leverage H100 for Next Wave of AI

NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows

Nvidia Corp , the computing company powering the bulk of artificial intelligence, is positioning itself as a key player in quantum computing with the launch of new software and hardware.

Nvidia positions for quantum computing with new products

Advanced Micro Devices

Taiwan Semiconductor Manufacturing

February was a good month for semiconductor stocks. After starting the year on a positive note, chipmakers' stocks rose further last month.

3 Semiconductor Stocks to Watch as the Chip Shortage Continues

Google Cloud, D-ID, Cohere Using New Platforms for Wide Range of Generative AI Services Including Chatbots, Text-to-Image Content, AI Video and More Google Cloud, D-ID, Cohere Using New Platforms for Wide Range of Generative AI Services Including Chatbots, Text-to-Image Content, AI Video and More

NVIDIA Launches Inference Platforms for Large Language Models and Generative AI Workloads

Part of NVIDIA AI Foundations, New BioNeMo Cloud Service Accelerates Life Sciences Research, Drug Discovery and Protein Engineering; Amgen and a Dozen Startups Among Early Access Customers Part of NVIDIA AI Foundations, New BioNeMo Cloud Service Accelerates Life Sciences Research, Drug Discovery and Protein Engineering; Amgen and a Dozen Startups Among Early Access Customers

NVIDIA Unveils Large Language Models and Generative AI Service to Advance Life Sciences R&D

Nvidia Corp. said Tuesday it is rolling out a software library designed to allow chip makers and foundries to etch smaller transistors onto silicon wafers faster as the industry approaches sizes that approach the limits of physics and rising costs.

Nvidia launches chipmaking software as ‘the limits of physics' are reached

Nvidia Corp. NVDA, -1.75% said Tuesday it was launching DGX Cloud, a service where businesses can get instant access to artificial intelligence models. At Nvidia's annual GTC developer conference, CEO Jensen Huang said the service allows a customer “to access its own AI supercomputer” over a web browser at $37,000 per instance per month.

Nvidia launches AI services for businesses ‘at the iPhone moment of AI'

At its annual GPU Technology Conference, Nvidia announced a set of cloud services designed to help businesses build and run generative AI models trained on custom data and created for “domain-specific tasks,” like writing ad copy.

Nvidia launches new cloud services and partnerships to train generative AI

Nvidia Corporation is the powerhouse name associated with the graphics and GPU industry. Strong FY21 and FY22 has been overshadowed by a flatline FY23.

Nvidia: The Business Is Right, But What About That Price?

Adobe to Build Models for Next-Generation Creative Workflows; Getty Images, Morningstar, Quantiphi, Shutterstock Using NVIDIA AI Foundations Cloud Services to Customize Models for AI-Powered Applications Adobe to Build Models for Next-Generation Creative Workflows; Getty Images, Morningstar, Quantiphi, Shutterstock Using NVIDIA AI Foundations Cloud Services to Customize Models for AI-Powered Applications

NVIDIA Brings Generative AI to World's Enterprises With Cloud Services for Creating Large Language and Visual Models

Oracle Cloud Infrastructure First to Run NVIDIA AI Supercomputing Instances; Microsoft Azure, Google Cloud and Others to Host DGX Cloud Soon Oracle Cloud Infrastructure First to Run NVIDIA AI Supercomputing Instances; Microsoft Azure, Google Cloud and Others to Host DGX Cloud Soon

NVIDIA Launches DGX Cloud, Giving Every Enterprise Instant Access to AI Supercomputer From a Browser

Microsoft Azure to Host NVIDIA DGX Cloud for AI Supercomputing, and NVIDIA Omniverse Cloud for Building and Operating 3D Worlds; Companies to Connect Omniverse Platform to Microsoft 365 Applications Microsoft Azure to Host NVIDIA DGX Cloud for AI Supercomputing, and NVIDIA Omniverse Cloud for Building and Operating 3D Worlds; Companies to Connect Omniverse Platform to Microsoft 365 Applications

NVIDIA and Microsoft to Bring the Industrial Metaverse and AI to Hundreds of Millions of Enterprise Users via Azure Cloud

Hyperscaler Adds BlueField-3 DPUs to Its Networking Stack to Offload Data Center Tasks From CPUs Hyperscaler Adds BlueField-3 DPUs to Its Networking Stack to Offload Data Center Tasks From CPUs

Oracle Cloud Infrastructure Chooses NVIDIA BlueField Data Center Acceleration Platform

Semiconductor Leaders Embrace NVIDIA Breakthrough in Computational Lithography as Industry Drives to the Limits of Physics Semiconductor Leaders Embrace NVIDIA Breakthrough in Computational Lithography as Industry Drives to the Limits of Physics

NVIDIA, ASML, TSMC and Synopsys Set Foundation for Next-Generation Chip Manufacturing

Integrating NVIDIA Technology Into Medtronic's Real-Time AI Endoscopy Device to Help Improve Patient Care and Outcomes Integrating NVIDIA Technology Into Medtronic's Real-Time AI Endoscopy Device to Help Improve Patient Care and Outcomes

Medtronic and NVIDIA Collaborate to Build AI Platform for Medical Devices

Telecoms Giant Adopts NVIDIA AI to Process Data More Efficiently, Optimize Service-Vehicle Routing, Create Digital Twins and Avatars Telecoms Giant Adopts NVIDIA AI to Process Data More Efficiently, Optimize Service-Vehicle Routing, Create Digital Twins and Avatars

AT&T Supercharges Operations With NVIDIA AI

NVIDIA and Quantum Machines Debut DGX Quantum — First System to Couple GPUs and Quantum Computing, Uses Newly Open-Sourced CUDA Quantum Software Platform NVIDIA and Quantum Machines Debut DGX Quantum — First System to Couple GPUs and Quantum Computing, Uses Newly Open-Sourced CUDA Quantum Software Platform

NVIDIA Announces New System for Accelerated Quantum-Classical Computing

The entire chip sector shows a bottom and is on the cusp of reversal, with NVIDIA (NASDAQ: NVDA)  in the lead. The company's Q4 results were better than expected due to unexpected strengths that led to solid guidance.

Will Advanced Micro Devices Follow NVIDIA Higher?

Nvidia Corp Chief Executive Jensen Huang is expected on Tuesday to disclose new artificial intelligence chips and technologies at the company's annual conference for software developers.

Nvidia set to reveal new AI technologies at annual conference

Homeware retailer Kingfisher will be amongst a selection of companies whose full-year results are sandwiched between the Credit Suisse debacle and decisions on interest rates in both the UK and the US. The FTSE 100 constituent has been a company of concern for some investors, with shares being one of London's most shorted stocks.

Kingfisher and Nvidia update on Tuesday as interest rate decision looms

Nvidia (NASDAQ: NVDA ) stock is on the move Monday as investors prepare for the launch of the company's GTC conference tomorrow. The conference kicks off on March 21 with a keynote address from Nvidia CEO Jensen Huang.

Dear NVDA Stock Fans, Mark Your Calendars for March 21

If AI technology is a gold rush, Nvidia provides the picks and shovels. Nvidia stock is not cheap, but its premium still looks reasonable.

A Bull Market Is Coming: 2 Reasons to Buy Nvidia Stock Before It's Too Late

Apple

Accenture Plc

Adobe

Amazon

Arista Networks

Baidu

Salesforce

Sprinklr

EPAM Systems

Intel

Iron Mountain

Microsoft

Nuance Communications

Palantir Technologies

Snowflake

Sprout Social

Shutterstock

Seagate Technology Holdings PLC

When looking for the best AI stocks to buy amid buzz over GPT-4 chatbot technology, identify companies aiming to gain a strategic edge. The post AI Stocks To Watch As Big Tech Improves Products With Artificial Intelligence appeared first on Investor's Business Daily.

News for NVIDIA Stock (NVDA)