Automatic Data Processing (ADP) EPS (Diluted) (2009 - 2026)
Automatic Data Processing's EPS (Diluted) came in at $2.43 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.9% from $2.23 a year earlier but down 28.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) EPS (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's EPS (Diluted) was $10.94, up 9.6% from FY2025.
- EPS (Diluted) has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $9.98 in FY2025 (+9.7%), $9.10 in FY2024 (+10.9%), $8.21 in FY2023 (+17.2%) and $7.00 in FY2022 (+15.4%).
- The five-year range for quarterly EPS (Diluted) is $1.49 (fiscal Q4 2022) to $3.38 (fiscal Q3 2026).
- Year-over-year, EPS (Diluted) has increased for 21 consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- Across the past five years, year-over-year growth in EPS (Diluted) ran from 6.4% in fiscal Q3 2025 to 25.8% in fiscal Q4 2023.
- Business Quant data shows ADP's EPS (Diluted) at $3.38 (Q3 2026), $2.62 (Q2 2026) and $2.49 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 1.56 |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 2.16 |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -24.45 |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 0.99 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 |
| Mar 31, 2026 | 3.38 |
| Dec 31, 2025 | 2.62 |
| Sep 30, 2025 | 2.49 |
| Jun 30, 2025 | 2.23 |
| Mar 31, 2025 | 3.06 |
| Dec 31, 2024 | 2.36 |
| Sep 30, 2024 | 2.34 |
| Jun 30, 2024 | 2.01 |
| Mar 31, 2024 | 2.88 |
| Dec 31, 2023 | 2.13 |
| Sep 30, 2023 | 2.08 |
| Jun 30, 2023 | 1.87 |
| Mar 31, 2023 | 2.51 |
| Dec 31, 2022 | 1.95 |
| Sep 30, 2022 | 1.87 |
| Jun 30, 2022 | 1.49 |
| Mar 31, 2022 | 2.21 |
| Dec 31, 2021 | 1.65 |
| Sep 30, 2021 | 1.65 |
API Access
Automatic Data Processing EPS (Diluted) 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-diluted&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();