Xilinx Reports Record Revenues Exceeding $3 Billion For Fiscal 2019

April 25, 2019

SAN JOSE, Calif., April 25, 2019 — Xilinx, Inc. has announced record revenues of $3.06 billion for fiscal year 2019, up 24% from the prior fiscal year. Revenues were $828 million for the fourth quarter of fiscal year 2019, up 4% from the prior quarter and up 30% year over year.

GAAP net income for fiscal year 2019 was $890 million, or $3.47 per diluted share.  Non-GAAP net income for fiscal year 2019 was $892 million, or $3.48 per diluted share. GAAP net income for the March quarter was $245 million, or $0.95 per diluted share.  Non-GAAP net income for the March quarter was $242 million, or $0.94 per diluted share.

The Xilinx Board of Directors declared a quarterly cash dividend of $0.37 per outstanding share of common stock payable on June 3, 2019 to all stockholders of record at the close of business on May 16, 2019.

Additional fourth quarter of fiscal year 2019 comparisons are provided in the charts below. Due to the adoption of the new revenue recognition standard in the first quarter of fiscal year 2019, all 2018 results have been restated to conform with the new standard.

Q4 2019 Financial Highlights
(In millions, except EPS)     
GAAP
Q4 Q3 Q4
FY 2019 FY 2019 FY 2018 Q-T-Q Y-T-Y
Net Revenues* $828 $800 $638 4% 30%
Operating income $250 $258 $163 -3% 53%
Net income $245 $239 $145 2% 68%
Diluted earnings per share $0.95 $0.93 $0.56 2% 70%
Non-GAAP
Q4 Q3 Q4
FY 2019 FY 2019 FY 2018 Q-T-Q Y-T-Y
Net Revenues* $828 $800 $638 4% 30%
Operating income $259 $263 $197 -2% 31%
Net income $242 $237 $181 2% 34%
Diluted earnings per share $0.94 $0.92 $0.70 2% 34%
* No adjustment between GAAP and Non-GAAP

“Fiscal year 2019 was truly an exceptional year for Xilinx. For the year, we exceeded $3 billion in annual revenues for the first time and posted 24% growth from last year, driven by Advanced Product revenues which grew 40% year over year.  In addition, we demonstrated strong profitability by posting over 30% growth in both non-GAAP operating income and non-GAAP diluted earnings per share. We are executing to our strategy and focusing on growth across our portfolio as we continue our transformation to a platform company,” said Victor Peng, president and chief executive officer, Xilinx.

Product and Financial Highlights – Fiscal Year 2019  

  • Driven by 5G, Communications revenues increased 34% compared to last fiscal year. Wireless strength resulted from momentum across both radio and baseband applications with OEM customers; especially due to 5G deployment in South Korea and preparation for 5G deployment in China. During the year, Xilinx and Samsung jointly enabled the world’s first 5G NR commercial deployment. Xilinx also expanded its breakthrough RFSoC portfolio to the full sub-6GHz spectrum support that is required for 5G.
  • Data Center and Test, Measurement & Emulation (TME) revenues grew double digits during fiscal year 2019, driven by the Data Center business which grew 40%. During the fiscal year, Xilinx demonstrated strong design-win momentum across hyperscalers, enterprise customers and partners and increased the cumulative number of Xilinx ISV partners to over 500. Xilinx continued to enable key Xilinx platform and Alveo partners through its corporate venture initiatives, doubling ecosystems investments year over year to more than 20 portfolio companies addressing key applications in a variety of areas including data analytics, financial computing and video streaming acceleration.
    Continuing on this path, Xilinx announced today that it has entered into a definitive agreement to acquire Solarflare Communications, a leading provider of high-performance, low latency networking solutions for customers spanning FinTech to cloud computing, further accelerating its “Data Center First” strategy. This acquisition will enable Xilinx to combine its industry leading FPGA, MPSoC and ACAP solutions with Solarflare’s high-speed network interface card (NIC) technology and Onload application acceleration software, to enable a new converged SmartNIC platform.
  • Xilinx Automotive business grew double digits reflecting the Company’s leading and growing position in Advanced Driver Assist Systems (ADAS). During the fiscal year, Daimler showcased its AI solution in the new Mercedes GLE Sport Utility Vehicle that is powered by Xilinx products. In addition, ZF Friedrichshafen AG, a global leader and Tier-1 automotive supplier announced a strategic collaboration in which Xilinx technology will power its highly advanced AI-based automotive control unit to enable automated driving applications. Further, BYD in China started mass production of front-camera ADAS technology using Xilinx SoCs.
  • Industrial, Aerospace & Defense as well as Automotive, Broadcast and Consumer primary end markets grew to new sales records, with each market supported by a robust and diversified portfolio. Industrial, Aerospace & Defense strength was driven primarily by Industrial growing double digits. Revenues from Automotive, Broadcast and Consumer were driven by double digit growth from each of the businesses.

Business Outlook – Fiscal First Quarter 2020  

The following guidance is  based on current expectations and estimates, and as indicated, are presented on a GAAP and non-GAAP basis. This guidance is forward-looking and actual results may differ materially, as a result of, among other things, the important factors discussed at the end of this release.

GAAP Non-GAAP
Adjustments
Non-GAAP
Revenues $835M – $865M $835M – $865M
Gross Margin ~66% ~66%
Operating Expenses ~$315M $7M (1) ~$308M
Other Income  ~$15M  ~$15M
Tax Rate      7% – 9%    7% -9%
(1) Includes an estimated $7 million in M&A related expenses and amortization of acquisition related intangibles

Conference Call

A conference call will be held today at 2:00 p.m. Pacific Time to discuss the March quarter financial results and management’s outlook for the June quarter. The webcast and subsequent replay will be available in the investor relations section of the Company’s web site at www.investor.xilinx.com.  A telephonic replay of the call may be accessed later in the day by calling (855) 859-2056 and referencing confirmation code 7974619 . The telephonic replay will be available for two weeks following the live call.

About Xilinx

Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies – from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP, designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future. For more information, visit www.xilinx.com.


Source: Xilinx, Inc.

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!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire