APH

Amphenol
D

APH

Arincen80/100B

Amphenol EPS (earnings per share) 1990–2026

Amphenol's diluted EPS in Q3 FY2026, the three months to 30 September 2026, was 0.79 USD, up 62.9% on the same quarter a year before. Amphenol's diluted earnings per share over the last twelve months were 2.31 USD, up 53.7% on the twelve months before. In fiscal year 2025 they were 1.67 USD, up 74.0% on the year before.

Last updated 11 Nov 2026 · Next report 27 Jan 2027

EPS

Growth

Fiscal yearPeriod endingEPSGrowthEPS (basic)
TTM30 Sept 20262.31+53.67%2.41
FY202531 Dec 20251.67+73.96%1.76
FY202431 Dec 20240.96+23.08%1.01
FY202331 Dec 20230.78+1.96%0.81
FY202231 Dec 20220.77+20.47%0.80
FY202131 Dec 20210.64+29.59%0.67
FY202031 Dec 20200.49+4.26%0.51
FY201931 Dec 20190.47-2.08%0.49
FY201831 Dec 20180.48+84.62%0.50
FY201731 Dec 20170.26-21.21%0.27
FY201631 Dec 20160.33+8.20%0.34
FY201531 Dec 20150.31+8.93%0.31
FY201431 Dec 20140.28+14.29%0.28
FY201331 Dec 20130.25+13.95%0.25
FY201231 Dec 20120.22+13.16%0.22
FY201131 Dec 20110.19+5.56%0.20
FY201031 Dec 20100.18+56.52%0.18
FY200931 Dec 20090.12-23.33%0.12
FY200831 Dec 20080.15+20.00%0.15
FY200731 Dec 20070.13+38.89%0.13
FY200631 Dec 20060.09+28.57%0.09
FY200531 Dec 20050.07+16.67%0.07
FY200431 Dec 20040.06+60.00%0.06
FY200331 Dec 20030.04+25.00%0.04
FY200231 Dec 20020.030.00%0.03
FY200131 Dec 20010.03-25.00%0.03
FY200031 Dec 20000.04+164.03%0.04
FY199931 Dec 19990.02-4.42%0.02
FY199831 Dec 19980.02+112.75%0.02
FY199731 Dec 19970.01-34.36%0.01
FY199631 Dec 19960.01+8.10%0.01
FY199531 Dec 19950.01+64.06%0.01
FY199431 Dec 19940.01+40.66%0.01
FY199331 Dec 19930.00+121.95%0.00
FY199231 Dec 19920.00—0.00
FY199131 Dec 1991-0.00—-0.00
FY199031 Dec 1990-0.01—-0.01

Figures in USD. Shares and EPS are adjusted for stock splits. Quarterly growth is on the same quarter a year before; TTM is the last four quarters.

See also:Revenue,Net income,Shares outstanding,Operating income,Cash on hand,Total debt,Free cash flow,Stock buybacks,Income statement

Common questions about Amphenol's EPS

Source: Financial Modeling Prep