Automatic Data Processing (ADP) Net Income (2009 - 2026)
Automatic Data Processing (ADP) posted Net Income of $978.6 million for 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) Net Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Net Income came in at $4.41 billion, up 8.2% from FY2025.
- Annual Net Income has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Net Income 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 Net Income has run from a low of $625.5 million in fiscal Q4 2022 to a high of $1.36 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Net Income has increased in each of the last 21 quarters, with growth averaging 8.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Net Income ran from 5.5% in fiscal Q3 2025 to 24.2% in fiscal Q4 2023.
- According to Business Quant data, Net Income for the three prior fiscal quarters 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) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.07 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 4.76 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 2.57 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 3.53 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 298.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 978.60 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -8.22 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 444.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 700.50 Mn |
API Access
Automatic Data Processing Net Income 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=net-income&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();