Automatic Data Processing (ADP) EPS (Basic) (2009 - 2026)
Automatic Data Processing's EPS (Basic) was $2.43 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.7% from $2.24 a year earlier but down 28.1% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) EPS (Basic) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EPS (Basic) at Automatic Data Processing came in at $10.97, up 9.5% from FY2025.
- EPS (Basic) has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- In earlier fiscal years, EPS (Basic) was $10.02 in FY2025 (+9.7%), $9.14 in FY2024 (+10.8%), $8.25 in FY2023 (+17.1%) and $7.04 in FY2022 (+15.5%).
- Quarterly EPS (Basic) has moved between $1.49 (fiscal Q4 2022) and $3.39 (fiscal Q3 2026) over five years.
- Compared with a year earlier, EPS (Basic) has increased for 21 straight quarters, with growth averaging 9.6% over the last eight quarters.
- The year-over-year growth in EPS (Basic) has ranged between 6.4% (fiscal Q3 2025) and 25.7% (fiscal Q4 2023) over the last five years.
- Per Business Quant data, ADP's EPS (Basic) in the three fiscal quarters before Q4 2026 was $3.39 (Q3 2026), $2.63 (Q2 2026) and $2.50 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 0.47 |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 1.58 |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 2.22 |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 4.30 |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 2.80 |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 1.32 |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 47.78 |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 0.78 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.80 |
| 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 |
API Access
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_KEYimport 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();