Spirent Communications EPS - Earnings per Share 2010-2023 | SPMYY
Spirent Communications eps - earnings per share from 2010 to 2023. Eps - 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.
Spirent Communications Annual EPS |
2023 |
$0.17 |
2022 |
$0.65 |
2021 |
$0.58 |
2020 |
$0.55 |
2019 |
$0.51 |
2018 |
$0.36 |
2017 |
$0.19 |
2016 |
$-0.28 |
2015 |
$0.09 |
2014 |
$0.13 |
2013 |
$0.20 |
2012 |
$0.78 |
2011 |
$0.56 |
2010 |
$0.12 |
2009 |
$0.55 |
Spirent Communications Quarterly EPS |
2023-12-31 |
$0.00 |
2023-06-30 |
$0.00 |
2022-12-31 |
$0.00 |
2022-06-30 |
$0.00 |
2021-12-31 |
$0.00 |
2021-06-30 |
$0.00 |
2020-12-31 |
$0.00 |
2020-06-30 |
$0.00 |
2019-12-31 |
$0.00 |
2018-12-31 |
$0.00 |
2018-06-30 |
$0.00 |
2017-12-31 |
$0.00 |
2017-06-30 |
$0.00 |
2016-12-31 |
$0.00 |
2016-06-30 |
$0.00 |
2015-12-31 |
$0.00 |
2015-06-30 |
$0.00 |
2014-12-31 |
$0.05 |
2014-09-30 |
$0.01 |
2014-06-30 |
$0.03 |
2014-03-31 |
$0.04 |
2013-12-31 |
$0.06 |
2013-09-30 |
$0.06 |
2013-06-30 |
$0.05 |
2013-03-31 |
$0.03 |
2012-12-31 |
$0.43 |
2012-09-30 |
$0.11 |
2012-06-30 |
$0.12 |
2012-03-31 |
$0.12 |
2011-12-31 |
$0.20 |
2011-09-30 |
$0.13 |
2011-06-30 |
$0.14 |
2011-03-31 |
$0.09 |
2010-12-31 |
$-0.20 |
2010-09-30 |
$0.12 |
2010-06-30 |
$0.15 |
2010-03-31 |
$0.05 |
2009-12-31 |
$0.36 |
2009-09-30 |
$0.07 |
2009-06-30 |
$0.06 |
2009-03-31 |
$0.06 |
Sector |
Industry |
Market Cap |
Revenue |
Computer and Technology |
Communication Components Manufacturers |
$1.354B |
$0.474B |
SPIRENT PLC-ADR is an international network technology company providing state-of-the-art systems and solutions for a broad range of customers worldwide. Their Communications group is a worldwide provider of integrated performance analysis and service assurance systems for next-generation network technologies. Spirent's solutions accelerate the development and deployment of network equipment and services by emulating real-world conditions and assuring end-to-end performance of large-scale networks.
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