Automatic Data Processing (ADP) Income After Tax (2009 - 2026)
Automatic Data Processing's Income After Tax was $978.6 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.5% from $910.7 million a year earlier but down 28.0% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Income After Tax (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Income After Tax at Automatic Data Processing came in at $4.41 billion, up 8.2% from FY2025.
- Income After Tax has now increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In earlier fiscal years, Income After Tax was $4.08 billion in FY2025 (+8.7%), $3.75 billion in FY2024 (+10.0%), $3.41 billion in FY2023 (+15.7%) and $2.95 billion in FY2022 (+13.5%).
- Quarterly Income After Tax has moved between $625.5 million (fiscal Q4 2022) and $1.36 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Income After Tax has increased for 21 straight quarters, with growth averaging 8.6% over the last eight quarters.
- The year-over-year growth in Income After Tax has ranged between 5.5% (fiscal Q3 2025) and 24.2% (fiscal Q4 2023) over the last five years.
- Per Business Quant data, ADP's Income After Tax in the three fiscal quarters before Q4 2026 was $1.36 billion (Q3 2026), $1.06 billion (Q2 2026) and $1.01 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.13 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 4.76 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 4.30 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 3.53 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 1.13 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 277.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 19.53 Bn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 353.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Bn |
| Jun 30, 2026 | 978.60 Mn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 910.70 Mn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 963.20 Mn |
| Sep 30, 2024 | 956.30 Mn |
| Jun 30, 2024 | 829.30 Mn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 878.40 Mn |
| Sep 30, 2023 | 859.40 Mn |
| Jun 30, 2023 | 776.70 Mn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 813.10 Mn |
| Sep 30, 2022 | 779.00 Mn |
| Jun 30, 2022 | 625.50 Mn |
| Mar 31, 2022 | 928.50 Mn |
| Dec 31, 2021 | 694.40 Mn |
API Access
Automatic Data Processing Income After Tax 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=profit-after-tax&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();