Automatic Data Processing (ADP) Revenue (2009 - 2026)
Automatic Data Processing (ADP) reported Revenue of $5.47 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.8% from $5.13 billion a year earlier but down 7.8% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Revenue of $21.95 billion, up 6.7% from FY2025.
- Revenue has increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 7.9% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $20.56 billion in FY2025 (+7.1%), $19.2 billion in FY2024 (+6.6%), $18.01 billion in FY2023 (+9.2%) and $16.5 billion in FY2022 (+9.9%).
- Five-year quarterly Revenue spans a low of $3.83 billion in fiscal Q1 2022 and a high of $5.94 billion in fiscal Q3 2026.
- Year over year, Revenue has now increased in each of the last 23 quarters, with growth averaging 6.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 5.7% in fiscal Q3 2025 to 10.5% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $5.94 billion (Q3 2026), $5.36 billion (Q2 2026) and $5.18 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 19.35 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 1.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.47 Bn |
| Mar 31, 2026 | 5.94 Bn |
| Dec 31, 2025 | 5.36 Bn |
| Sep 30, 2025 | 5.18 Bn |
| Jun 30, 2025 | 5.13 Bn |
| Mar 31, 2025 | 5.55 Bn |
| Dec 31, 2024 | 5.05 Bn |
| Sep 30, 2024 | 4.83 Bn |
| Jun 30, 2024 | 4.77 Bn |
| Mar 31, 2024 | 5.25 Bn |
| Dec 31, 2023 | 4.67 Bn |
| Sep 30, 2023 | 4.51 Bn |
| Jun 30, 2023 | 4.48 Bn |
| Mar 31, 2023 | 4.93 Bn |
| Dec 31, 2022 | 4.39 Bn |
| Sep 30, 2022 | 4.22 Bn |
| Jun 30, 2022 | 4.13 Bn |
| Mar 31, 2022 | 4.51 Bn |
| Dec 31, 2021 | 4.03 Bn |
| Sep 30, 2021 | 3.83 Bn |
API Access
Automatic Data Processing Revenue 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=revenue&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();