NVIDIA Announces Financial Results for Fourth Quarter and Fiscal 2019

February 14, 2019

SANTA CLARA, Calif., Feb. 14, 2019 — NVIDIA today reported revenue for the fourth quarter ended Jan. 27, 2019, of $2.21 billion, down 24 percent from $2.91 billion a year earlier, and down 31 percent from $3.18 billion in the previous quarter.

GAAP earnings per diluted share for the quarter were $0.92, down 48 percent from $1.78 a year ago and down 53 percent from $1.97 in the previous quarter. Non-GAAP earnings per diluted share were $0.80, down 53 percent from $1.72 a year earlier and down 57 percent from $1.84 in the previous quarter.

For fiscal 2019, revenue was $11.72 billion, up 21 percent from $9.71 billion a year earlier. GAAP earnings per diluted share were $6.63, up 38 percent from $4.82 a year earlier. Non-GAAP earnings per diluted share were $6.64, up 35 percent from $4.92 a year earlier.

“This was a turbulent close to what had been a great year,” said Jensen Huang, founder and CEO of NVIDIA. “The combination of post-crypto excess channel inventory and recent deteriorating end-market conditions drove a disappointing quarter.

“Despite this setback, NVIDIA’s fundamental position and the markets we serve are strong. The accelerated computing platform we pioneered is central to some of world’s most important and fastest growing industries – from artificial intelligence to autonomous vehicles to robotics. We fully expect to return to sustained growth,” he said.

Capital Return

In fiscal 2019, NVIDIA returned $1.95 billion to shareholders through a combination of $1.58 billion in share repurchases and $371 million in quarterly cash dividends.

Of the $3.00 billion NVIDIA intends to return to shareholders by the end of fiscal 2020, $700 million in share repurchases were completed in the fourth quarter of fiscal 2019. The company intends to return the remaining $2.30 billion by the end of fiscal 2020, through a combination of share repurchases and cash dividends.

NVIDIA will pay its next quarterly cash dividend of $0.16 per share on March 22, 2019, to all shareholders of record on March 1, 2019.

Q4 Fiscal 2019 Summary

GAAP
 ($ in millions except earnings per share) Q4 FY19 Q3 FY19 Q4 FY18 Q/Q Y/Y
 Revenue $2,205 $3,181 $2,911 Down 31% Down 24%
 Gross margin 54.7% 60.4% 61.9% Down 570 bps Down 720 bps
 Operating expenses $913 $863 $728 Up 6% Up 25%
 Operating income $294 $1,058 $1,073 Down 72% Down 73%
 Net income $567 $1,230 $1,118 Down 54% Down 49%
 Diluted earnings per share $0.92 $1.97 $1.78 Down 53% Down 48%
Non-GAAP
 ($ in millions except earnings per share) Q4 FY19 Q3 FY19 Q4 FY18 Q/Q Y/Y
 Revenue $2,205 $3,181 $2,911 Down 31% Down 24%
 Gross margin 56.0% 61.0% 62.1% Down 500 bps Down 610 bps
 Operating expenses $755 $730 $607 Up 3% Up 24%
 Operating income $479 $1,210 $1,202 Down 60% Down 60%
 Net income $496 $1,151 $1,081 Down 57% Down 54%
 Diluted earnings per share $0.80 $1.84 $1.72 Down 57% Down 53%

Fiscal 2019 Summary

GAAP
 ($ in millions except earnings per share) FY19 FY18 Y/Y
 Revenue $11,716 $9,714 Up 21%
 Gross margin 61.2% 59.9% Up 130 bps
 Operating expenses $3,367 $2,612 Up 29%
 Operating income $3,804 $3,210 Up 19%
 Net income $4,141 $3,047 Up 36%
 Diluted earnings per share $6.63 $4.82 Up 38%
Non-GAAP
 ($ in millions except earnings per share) FY19 FY18 Y/Y
 Revenue $11,716 $9,714 Up 21%
 Gross margin 61.7% 60.2% Up 150 bps
 Operating expenses $2,826 $2,227 Up 27%
 Operating income $4,407 $3,617 Up 22%
 Net income $4,143 $3,085 Up 34%
 Diluted earnings per share $6.64 $4.92 Up 35%

NVIDIA’s outlook for the first quarter of fiscal 2020 is as follows:

  • Revenue is expected to be $2.20 billion, plus or minus 2 percent.
  • GAAP and non-GAAP gross margins are expected to be 58.8 percent and 59.0 percent, respectively, plus or minus 50 basis points.
  • GAAP and non-GAAP operating expenses are expected to be approximately $930 million and $755 million, respectively.
  • GAAP and non-GAAP other income and expense are both expected to be income of approximately $20 million.
  • GAAP and non-GAAP tax rates are both expected to be 10 percent, plus or minus 1 percent, excluding any discrete items. GAAP discrete items include excess tax benefits or deficiencies related to stock-based compensation, which are expected to generate variability on a quarter by quarter basis.

For fiscal 2020, revenue is expected to be flat to down slightly.

Latest Highlights

Since the end of the third quarter, NVIDIA has achieved progress in these areas:

Datacenter

  • Announced that the NVIDIA T4 GPU launched in public beta on Google Cloud Platform, with availability in the U.S., Europe, Brazil, India, Japan, and Singapore.
  • Set six records in AI performance with the release of MLPerf, the industry’s first objective set of AI benchmarks.
  • Announced with Google the integration of NVIDIA’s RAPIDS GPU-accelerated data science libraries with Kubeflow Pipelines, a Kubernetes-based platform for deploying and managing machine learning workloads in hyperscale datacenters.

Gaming

  • Launched the GeForce RTX 2060 GPU, putting exceptional performance and graphics enhanced by ray tracing and AI within reach of tens of millions of gamers.
  • Unveiled a record 40+ new gaming laptops in over 100 configurations powered by NVIDIA GeForce RTX GPUs.
  • Expanded its G-SYNC ecosystem with G-SYNC-compatible monitors, tested and driver-optimized by NVIDIA.
  • Announced that Battlefield V, the first real-time ray tracing game, will add DLSS AI super-sampling technology; that the highly anticipated game Anthem will integrate DLSS; and that Justice, one of China’s most popular MMO games, will add ray tracing and DLSS.

Professional Visualization

  • Introduced Quadro RTX 4000, bringing real-time ray tracing to millions of midrange workstation users.
  • Announced the NVIDIA CUDA-accelerated REDCODE RAW decode SDK, in collaboration with RED Digital Cinema, enabling developers and studios to edit 8K video in real time without the need for additional video processors.

Automotive

  • Introduced NVIDIA DRIVE AutoPilot, the world’s first commercially available Level 2+ automated driving system, with Tier 1 suppliers Continental and ZF announcing the availability of Level 2+ solutions based on NVIDIA DRIVE in 2020.
  • Announced with Mercedes-Benz that it will create a centralized computing architecture for the automaker’s next-generation vehicles, enabling them to be software-defined AI cars.

Edge Computing

CFO Commentary

Commentary on the quarter by Colette Kress, NVIDIA’s executive vice president and chief financial officer, is available at https://investor.nvidia.com/home/default.aspx.

Conference Call and Webcast Information 

NVIDIA will conduct a conference call with analysts and investors to discuss its fourth quarter and fiscal 2019 financial results and current financial prospects today at 2:30 p.m. Pacific time (5:30 p.m. Eastern time). A live webcast (listen-only mode) of the conference call will be accessible at NVIDIA’s investor relations website, https://investor.nvidia.com/home/default.aspx. The webcast will be recorded and available for replay until NVIDIA’s conference call to discuss its financial results for its first quarter of fiscal 2020.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire