NVIDIA EPS - Earnings per Share 2006-2019 | NVDA

NVIDIA annual and quarterly earnings per share history from 2006 to 2019. Earnings per share can be defined as a company's net earnings or losses attributable to common shareholders per diluted share base, which includes all convertible securities and debt, options and warrants.
  • NVIDIA EPS for the quarter ending April 30, 2019 was $0.64, a 67.68% decline year-over-year.
  • NVIDIA EPS for the twelve months ending April 30, 2019 was $5.29, a 11.98% decline year-over-year.
  • NVIDIA 2019 annual EPS was $6.63, a 37.55% increase from 2018.
  • NVIDIA 2018 annual EPS was $4.82, a 87.55% increase from 2017.
  • NVIDIA 2017 annual EPS was $2.57, a 137.96% increase from 2016.
NVIDIA Annual EPS
2019 $6.63
2018 $4.82
2017 $2.57
2016 $1.08
2015 $1.12
2014 $0.74
2013 $0.90
2012 $0.94
2011 $0.43
2010 $-0.12
2009 $-0.05
2008 $1.31
2007 $0.76
2006 $0.55
2005 $0.17
NVIDIA Quarterly EPS
Q1 2019 $0.64
Q4 2019 $0.92
Q3 2018 $1.97
Q2 2018 $1.76
Q1 2018 $1.98
Q4 2018 $1.78
Q3 2017 $1.33
Q2 2017 $0.92
Q1 2017 $0.79
Q4 2017 $0.98
Q3 2016 $0.83
Q2 2016 $0.41
Q1 2016 $0.35
Q4 2016 $0.35
Q3 2015 $0.44
Q2 2015 $0.05
Q1 2015 $0.24
Q4 2015 $0.35
Q3 2014 $0.31
Q2 2014 $0.22
Q1 2014 $0.24
Q4 2014 $0.25
Q3 2013 $0.20
Q2 2013 $0.16
Q1 2013 $0.13
Q4 2013 $0.28
Q3 2012 $0.33
Q2 2012 $0.19
Q1 2012 $0.10
Q4 2012 $0.18
Q3 2011 $0.29
Q2 2011 $0.25
Q1 2011 $0.22
Q4 2011 $0.30
Q3 2010 $0.15
Q2 2010 $-0.25
Q1 2010 $0.23
Q4 2010 $0.25
Q3 2009 $0.19
Q2 2009 $-0.19
Q1 2009 $-0.37
Q4 2009 $-0.24
Q3 2008 $0.11
Q2 2008 $-0.22
Q1 2008 $0.30
Q4 2008 $0.42
Q3 2007 $0.38
Q2 2007 $0.29
Q1 2007 $0.22
Q4 2007 $0.27
Q3 2006 $0.18
Q2 2006 $0.15
Q1 2006 $0.16
Q4 2006 $0.18
Q3 2005 $0.12
Q2 2005 $0.13
Q1 2005 $0.12
Q4 2005 $0.07
Sector Industry Market Cap Revenue
Computer and Technology Semiconductor - General $89.718B $11.716B
NVIDIA Corporation is the worldwide leader in graphics processors and media communications devices. The NVIDIA? Tesla? accelerated computing platform gives modern data centers the power to accelerate both artificial intelligence and high-performance computing workloads. NVIDIA? DGX? Systems are built on the new, revolutionary NVIDIA Volta? GPU platform. Powered by NVIDIA? Tesla? GPUs and NVIDIA NVLink?, the HGX reference architecture standardizes the design of data centers accelerating AI in the cloud-from autonomous driving and personalized healthcare to superhuman voice recognition. NVIDIA GPU Cloud (NGC) is a GPU-accelerated platform that runs everywhere. Data scientists and researchers can now rapidly build, train, and deploy neural network models to address some of the most complicated AI challenges. Their researchers operate as a think tank, accelerating advances in product technologies, including AI innovations like facial animations and light transport.
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