---------------------------------------------------------------------------- GAAP ---------------------------------------------------------------------------- ($ in millions except earnings per share) FY16 FY15 Y/Y ---------------------------------------------------------------------------- Revenue $5,010 $4,682 up 7% ---------------------------------------------------------------------------- Gross margin 56.1% 55.5% up 60 bps ---------------------------------------------------------------------------- Operating expenses $2,064 $1,840 up 12% ---------------------------------------------------------------------------- Operating income $747 $759 down 2% ---------------------------------------------------------------------------- Net income $614 $631 down 3% ---------------------------------------------------------------------------- Diluted earnings per share $1.08 $1.12 down 4% ---------------------------------------------------------------------------- ---------------------------------------------------------------------------- Non-GAAP ---------------------------------------------------------------------------- ($ in millions except earnings per share) FY16 FY15 Y/Y ---------------------------------------------------------------------------- Revenue $5,010 $4,682 up 7% ---------------------------------------------------------------------------- Gross margin 56.8% 55.8% up 100 bps ---------------------------------------------------------------------------- Operating expenses $1,721 $1,657 up 4% ---------------------------------------------------------------------------- Operating income $1,125 $954 up 18% ---------------------------------------------------------------------------- Net income $929 $801 up 16% ---------------------------------------------------------------------------- Diluted earnings per share $1.67 $1.42 up 18% ----------------------------------------------------------------------------
NVIDIA's outlook for the first quarter of fiscal 2017 is as follows:
- Revenue is expected to be $1.26 billion, plus or minus two percent.
- GAAP and non-GAAP gross margins are expected to be 57.2 percent and 57.5 percent, respectively, plus or minus 50 basis points.
- GAAP operating expenses are expected to be approximately $500 million. Non-GAAP operating expenses are expected to be approximately $445 million.
- GAAP and non-GAAP tax rates for the first quarter of fiscal 2017 are both expected to be 19 percent, plus or minus one percent.
- Capital expenditures are expected to be approximately $35 million to $45 million.
Fourth Quarter Fiscal 2016 Highlights
During the fourth quarter, NVIDIA achieved progress in each of its platforms.
Gaming:
- Announced the
GeForce® GTX VR Ready program -- in conjunction with PC companies, notebook makers and add-in card providers - to help users discover systems that will provide great virtual reality experiences.
- Released
NVIDIA GameWorks VR, a software development kit for developers of VR software and headsets for gaming.
Professional Visualization:
- Rolled out NVIDIA® Iray® plugins for Autodesk Maya and Autodesk 3ds Max, which enable users of these applications to create designs incorporating real-world lights and materials faster and more easily than before.
- Released NVIDIA DesignWorks VR, a software development kit for developers of VR software and headsets for enterprise.
Datacenter:
- Introduced an end-to-end
hyperscale datacenter deep learning platform -- consisting of two accelerators, the NVIDIA Tesla® M40 and NVIDIA Tesla M4 -- that lets web-services companies accelerate deep learning workloads.
- Revealed new breakthroughs from leading web-services groups using NVIDIA GPUs:
- Facebook is using the NVIDIA Tesla accelerated computing platform to power
Big Sur, its next-generation computing system for machine learning applications.
- Alibaba's
AliCloud cloud computing business is working with NVIDIA to promote China's first GPU-accelerated, cloud-based, high performance computing platform.
- IBM is adding support for NVIDIA GPU accelerators to its
Watson cognitive computing platform.
- Google is open-sourcing its TensorFlow deep-learning framework, which can be accelerated on GPUs.
- Microsoft's Computational Network Toolkit was integrated with Azure GPU Lab, enabling neural nets for speech recognition that are up to 10x faster than their predecessors.
- Facebook is using the NVIDIA Tesla accelerated computing platform to power
Big Sur, its next-generation computing system for machine learning applications.