EPS Diluted (Quarterly) Chart

Historical EPS Diluted (Quarterly) Data

View and export this data back to 2000. Upgrade now.
Date Value
March 31, 2024 1.662
December 31, 2023 -1.917
September 30, 2023 -0.3049
June 30, 2023 0.6106
March 31, 2023 1.880
December 31, 2022 -5.491
September 30, 2022 1.017
June 30, 2022 2.460
March 31, 2022 1.504
December 31, 2021 1.109
September 30, 2021 1.604
June 30, 2021 2.169
March 31, 2021 2.253
December 31, 2020 1.371
September 30, 2020 -2.701
June 30, 2020 -1.057
March 31, 2020 1.070
December 31, 2019 0.155
September 30, 2019 1.112
June 30, 2019 7.280
March 31, 2019 1.738
December 31, 2018 0.4107
September 30, 2018 1.523
June 30, 2018 1.922
March 31, 2018 2.248
Date Value
December 31, 2017 1.967
September 30, 2017 1.705
June 30, 2017 1.793
March 31, 2017 1.981
December 31, 2016 0.7983
September 30, 2016 1.083
June 30, 2016 1.344
March 31, 2016 1.666
December 31, 2015 0.3939
September 30, 2015 1.456
June 30, 2015 1.525
March 31, 2015 1.444
December 31, 2014 1.911
September 30, 2014 1.471
June 30, 2014 1.879
March 31, 2014 2.178
December 31, 2013 1.606
September 30, 2013 1.591
June 30, 2013 1.646
March 31, 2013 2.073
December 31, 2012 1.388
September 30, 2012 1.263
June 30, 2012 1.695
March 31, 2012 2.426
December 31, 2011 1.644

Earnings per Share Definition

Earnings per share measures the total net income / average shares outstanding during income period. There are a few variations to earnings per share that are listed including "EPS Basic", "EPS Diluted", "Normalized Basic EPS", and "Normalized Diluted EPS". Each of these metrics are dependent on which earnings and shares outstanding metrics are used. Basic and Diluted EPS differ in that diluted shares are the amount of shares outstanding after all convertible securities, options, and warrants are exercised. Normalized EPS allows does not include one-time expenses.

Read full definition.

EPS Diluted (Quarterly) Range, Past 5 Years

-5.491
Minimum
Dec 2022
7.280
Maximum
Jun 2019
0.7893
Average
1.111
Median

EPS Diluted (Quarterly) Benchmarks