Automatic Data Processing (ADP) Gross Profit (2009 - 2026)
Automatic Data Processing (ADP) posted Gross Profit of $2.51 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.7% from $2.31 billion a year earlier but down 12.4% from the prior quarter.
Automatic Data Processing (ADP) Gross Profit (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Gross Profit came in at $10.19 billion, up 7.6% from FY2025.
- Annual Gross Profit has increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Gross Profit was $9.46 billion in FY2025 (+8.5%), $8.73 billion in FY2024 (+8.3%), $8.06 billion in FY2023 (+14.5%) and $7.04 billion in FY2022 (+10.5%).
- Quarterly Gross Profit has run from a low of $1.61 billion in fiscal Q1 2022 to a high of $2.87 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Gross Profit has increased in each of the last 22 quarters, with growth averaging 8.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Gross Profit ranged from 6.4% (fiscal Q1 2026) to 15.2% (fiscal Q2 2023).
- According to Business Quant data, Gross Profit for the three prior fiscal quarters was $2.87 billion (Q3 2026), $2.47 billion (Q2 2026) and $2.34 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.51 Bn |
| Mar 31, 2026 | 2.87 Bn |
| Dec 31, 2025 | 2.47 Bn |
| Sep 30, 2025 | 2.34 Bn |
| Jun 30, 2025 | 2.31 Bn |
| Mar 31, 2025 | 2.65 Bn |
| Dec 31, 2024 | 2.31 Bn |
| Sep 30, 2024 | 2.20 Bn |
| Jun 30, 2024 | 2.14 Bn |
| Mar 31, 2024 | 2.49 Bn |
| Dec 31, 2023 | 2.11 Bn |
| Sep 30, 2023 | 2.00 Bn |
| Jun 30, 2023 | 1.99 Bn |
| Mar 31, 2023 | 2.30 Bn |
| Dec 31, 2022 | 1.94 Bn |
| Sep 30, 2022 | 1.82 Bn |
| Jun 30, 2022 | 1.74 Bn |
| Mar 31, 2022 | 2.00 Bn |
| Dec 31, 2021 | 1.68 Bn |
| Sep 30, 2021 | 1.61 Bn |
Automatic Data Processing Gross Profit 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=gross-profit&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();