Automatic Data Processing (ADP) EPS (Basic) (2009 - 2026)
Automatic Data Processing's (ADP) quarterly EPS (Basic) came in at $2.43 in Q2 2026, up 8.74% year-over-year from $2.24 in Q2 2025, and down 28.14% quarter-over-quarter from $3.39 in Q1 2026.
Automatic Data Processing (ADP) EPS (Basic) (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported EPS (Basic) for 18 consecutive years, with $2.43 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EPS (Basic) rose 8.74% year-over-year to $2.43 in Q2 2026; TTM through Jun 2026 was $10.97, a 9.47% increase from a year earlier, with the FY2026 full-year figure at $10.97, up 9.47% from the prior year.
- EPS (Basic) was $2.43 for Q2 2026 at Automatic Data Processing, down from $3.39 in the prior quarter.
- Over five years, EPS (Basic) peaked at $3.39 in Q1 2026 and troughed at $1.49 in Q2 2022.
- A 5-year average of $2.34 and a median of $2.29 in 2024 frame the typical range for EPS (Basic).
- Across the five-year window, EPS (Basic) grew 25.7% in 2023 and grew 6.38% in 2025, its largest moves.
- Over 5 years, EPS (Basic) stood at $1.96 in 2022, then advanced by 8.87% to $2.14 in 2023, then gained by 10.6% to $2.36 in 2024, then gained by 11.3% to $2.63 in 2025, then fell by 7.51% to $2.43 in 2026.
- The last three EPS (Basic) figures came in at $2.43 (Q2 2026), $3.39 (Q1 2026), and $2.63 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Automatic Data Processing | 107.89 Bn | 103.66 Bn | 2.51 Bn | 2.43 |
| 2 | Paychex | 41.30 Bn | 40.16 Bn | 1.19 Bn | 1.17 |
| 3 | Paycom Software | 10.03 Bn | 9.83 Bn | 412.40 Mn | 2.34 |
| 4 | Paylocity Holding | 7.66 Bn | 7.38 Bn | 300.38 Mn | 1.12 |
| 5 | Kanzhun | 6.89 Bn | 4.58 Bn | 306.38 Mn | 0.64 |
| 6 | Alight | 312.06 Mn | 99.06 Mn | 142.00 Mn | -0.38 |
| 7 | Asure Software | 233.76 Mn | 214.08 Mn | 25.06 Mn | -0.15 |
| 8 | Dhi | 211.36 Mn | 207.59 Mn | 25.04 Mn | 0.06 |
| 9 | CXApp | 4.15 Mn | 4.15 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 |
| Mar 31, 2026 | 3.39 |
| Dec 31, 2025 | 2.63 |
| Sep 30, 2025 | 2.50 |
| Jun 30, 2025 | 2.24 |
| Mar 31, 2025 | 3.07 |
| Dec 31, 2024 | 2.36 |
| Sep 30, 2024 | 2.34 |
| Jun 30, 2024 | 2.02 |
| Mar 31, 2024 | 2.89 |
| Dec 31, 2023 | 2.14 |
| Sep 30, 2023 | 2.09 |
| Jun 30, 2023 | 1.88 |
| Mar 31, 2023 | 2.52 |
| Dec 31, 2022 | 1.96 |
| Sep 30, 2022 | 1.88 |
| Jun 30, 2022 | 1.49 |
| Mar 31, 2022 | 2.22 |
| Dec 31, 2021 | 1.65 |
| Sep 30, 2021 | 1.66 |
Automatic Data Processing EPS (Basic) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-basic&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "ADP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-basic&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();