Question 1

What is Automatic Data Processing's P/E ratio?

Accepted Answer

Automatic Data Processing (ADP) P/E ratio is 22.5× as of July 22, 2026. The ratio is calculated by dividing market capitalisation by trailing twelve-month earnings (net income), using USD-normalised financials (IAS 21 exchange-rate translation for non-USD reporters).

Question 2

How is the P/E ratio calculated?

Accepted Answer

P/E = Share Price ÷ Trailing Twelve-Month (TTM) Diluted EPS, or equivalently Market Capitalisation ÷ TTM Net Income. All inputs are sourced from audited GAAP/IFRS filings and translated to USD using period-end exchange rates so the multiple is comparable across companies and currencies.

Question 3

What is the P/E ratio?

Accepted Answer

The price-to-earnings (P/E) ratio, also called the earnings multiple, measures how much investors pay per dollar of a company's trailing twelve-month (TTM) earnings. It is calculated as share price ÷ TTM diluted EPS (equivalent to market capitalisation ÷ TTM net income). A higher P/E implies the market is pricing in stronger future earnings growth or lower risk; a lower P/E can signal slower expected growth, higher risk, or potential undervaluation.

Question 4

What is a good P/E ratio for Automatic Data Processing?

Accepted Answer

There is no universal "good" P/E. As a rule of thumb, the S&P 500 has historically averaged a P/E in the mid-to-high teens; mature, slow-growth businesses commonly trade in the 10–18× range, while high-growth or asset-light companies often trade at 25–50×+. What matters is the comparison to sector peers and to the company's own historical range. For Automatic Data Processing specifically, the relevant sector benchmark is the current sector median of 29.4×.

Question 5

Is Automatic Data Processing's P/E ratio high or low?

Accepted Answer

Automatic Data Processing's P/E ratio of 22.5× is below its own 5-year average of 29.2× and below the sector median of 29.4×. That places the current reading at the 9th percentile of its 10-year history. A higher multiple usually reflects stronger expected growth, lower perceived risk, or higher returns on capital; a lower multiple reflects the opposite.

Question 6

What is Automatic Data Processing's historical P/E ratio range?

Accepted Answer

In the available daily series, Automatic Data Processing (ADP) P/E ratio has ranged from a low of 11.7× in 2009 to a high of 39.0× in 2021. The 5-year average is 29.2× and the 5-year median is 29.5×.

Question 7

What was Automatic Data Processing's P/E ratio in 2025?

Accepted Answer

Automatic Data Processing (ADP) P/E ratio at the end of 2025 was 30.7×. Annual values reflect the multiple on the last trading day of each calendar year, using the trailing twelve-month earnings figure available at that date.

Question 8

Why does Automatic Data Processing's P/E ratio change over time?

Accepted Answer

Valuation multiples move with two inputs: the numerator (market capitalisation, which tracks the share price) and the denominator (earnings). Share-price changes — driven by interest rates, earnings expectations, risk appetite, and broader market sentiment — typically dominate short-term moves, while changes in the underlying fundamental drive the longer-term trend. As a result, the ratio can rise during stock-price rallies even if the business itself has not become more valuable, and fall during sell-offs even when fundamentals are improving.


2025	$125B	$4.08B	30.7×	+5.0×	Jun 30, 2025
2024	$96.4B	$3.75B	25.7×	-0.9×	Jun 30, 2024
2023	$90.6B	$3.41B	26.6×	-3.1×	Jun 30, 2023
2022	$87.4B	$2.95B	29.6×	-2.7×	Jun 30, 2022
2021	$84.1B	$2.6B	32.4×	+6.5×	Jun 30, 2021
2020	$63.9B	$2.47B	25.9×	-5.6×	Jun 30, 2020
2019	$72.1B	$2.29B	31.5×	-4.8×	Jun 30, 2019
2018	$58.8B	$1.62B	36.2×	+10.0×	Jun 30, 2018
2017	$45.5B	$1.73B	26.3×	-1.6×	Jun 30, 2017
2016	$41.7B	$1.49B	27.9×	+2.2×	Jun 30, 2016
2015	$37.3B	$1.45B	25.7×	+3.7×	Jun 30, 2015
2014	$33.3B	$1.52B	22.0×	+1.0×	Jun 30, 2014
2013	$29.4B	$1.41B	20.9×	+3.8×	Jun 30, 2013
2012	$23.7B	$1.39B	17.1×	-0.9×	Jun 30, 2012
2011	$22.5B	$1.25B	18.0×	+3.6×	Jun 30, 2011
2010	$17.4B	$1.21B	14.3×	+2.6×	Jun 30, 2010
2009	$15.6B	$1.33B	11.7×	-3.4×	Jun 30, 2009
2008	$18.7B	$1.24B	15.1×	-4.7×	Jun 30, 2008
2007	$22.5B	$1.14B	19.8×	+7.0×	Jun 30, 2007
2006	$19.8B	$1.55B	12.7×	-5.3×	Jun 30, 2006
2005	$19.1B	$1.06B	18.1×	-2.5×	Jun 30, 2005
2004	$19.3B	$936M	20.6×	+5.0×	Jun 30, 2004
2003	$15.9B	$1.02B	15.6×	-2.6×	Jun 30, 2003
2002	$20B	$1.1B	18.2×	—	Jun 30, 2002


Dell Technologies (DELL)	16.2×
Western Digital (WDC)	15.7×
Accenture (ACN)	15.4×
Gartner (IT)	14.9×
CDW (CDW)	14.5×
Adobe (ADBE)	14.4×
Leidos Holdings (LDOS)	14.1×
Zoom Communications (ZM)	13.8×
QUALCOMM (QCOM)	13.7×
PTC (PTC)	13.5×
Paycom Software (PAYC)	13.2×
Elastic N.V. (ESTC)	13.2×
Cognizant (CTSH)	13.1×
First Solar (FSLR)	12.7×
GoDaddy (GDDY)	12.7×
Gen Digital (GEN)	11.7×
Duolingo (DUOL)	10.9×
Super Micro Computer (SMCI)	10.9×
Science Applications International (SAIC)	10.3×
Fiserv (FISV)	9.3×
Fidelity National Information Services (FIS)	9.0×
HP (HPQ)	7.5×
Sunrun (RUN)	5.6×
Lyft (LYFT)	1.8×
IBM (IBM)	0.0×

P/E Ratio for Automatic Data Processing (ADP) 2002-2026

P/E Ratio daily chart for Automatic Data Processing (ADP)

Historical P/E Ratio for Automatic Data Processing (ADP) from 2002 to 2025

About P/E Ratio at Automatic Data Processing (ADP)

Automatic Data Processing P/E Ratio by Year

Automatic Data Processing P/E Ratio 2025: 30.7×

Automatic Data Processing P/E Ratio 2024: 25.7×

Automatic Data Processing P/E Ratio 2023: 26.6×

Automatic Data Processing P/E Ratio 2022: 29.6×

Automatic Data Processing P/E Ratio 2021: 32.4×

Sector peers by P/E Ratio — chart

Sector peers by P/E Ratio — table

Frequently asked questions

Automatic Data Processing (ADP) Key Financials