Automatic Data Processing (ADP) Net Income (2009 - 2026)
Automatic Data Processing (ADP) posted Net Income of $1.13 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 11.1% from $1.01 billion a year earlier and up 15.0% from the prior quarter.
Automatic Data Processing (ADP) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Income at Automatic Data Processing was $4.53 billion, up 9.4% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $4.41 billion, up 8.2% from FY2025.
- Annual Net Income has increased for 11 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 22 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 $978.6 million (Q4 2026), $1.36 billion (Q3 2026) and $1.06 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 1.13 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 4.76 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 2.61 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 3.53 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 1.13 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 277.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 19.53 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 289.00 Mn |
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 |
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();