Automatic Data Processing (ADP) Market Capitalization (2009 - 2026)
Automatic Data Processing (ADP) reported Market Capitalization of $102.66 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 13.6% from $118.84 billion a year earlier but up 15.2% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Market Capitalization of $89.09 billion, down 28.7% from FY2025.
- Market Capitalization has a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- By fiscal year, Market Capitalization came in at $124.99 billion in FY2025 (+28.3%), $97.41 billion in FY2024 (+7.5%), $90.58 billion in FY2023 (+3.6%) and $87.4 billion in FY2022 (+3.9%).
- Five-year quarterly Market Capitalization spans a low of $81.39 billion in fiscal Q3 2026 and a high of $124.99 billion in fiscal Q4 2025.
- Year over year, Market Capitalization has now declined in each of the last four quarters, with an average decline of 1.3% over the last eight quarters.
- The high point for year-over-year Market Capitalization in five years was fiscal Q2 2022 (growth of 37.4%); the low point was fiscal Q3 2026 (a decline of 34.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $89.09 billion (Q4 2026), $81.39 billion (Q3 2026) and $103.66 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.66 Bn |
| Jun 30, 2026 | 89.09 Bn |
| Mar 31, 2026 | 81.39 Bn |
| Dec 31, 2025 | 103.66 Bn |
| Sep 30, 2025 | 118.84 Bn |
| Jun 30, 2025 | 124.99 Bn |
| Mar 31, 2025 | 124.14 Bn |
| Dec 31, 2024 | 119.11 Bn |
| Sep 30, 2024 | 112.82 Bn |
| Jun 30, 2024 | 97.41 Bn |
| Mar 31, 2024 | 102.34 Bn |
| Dec 31, 2023 | 95.68 Bn |
| Sep 30, 2023 | 99.05 Bn |
| Jun 30, 2023 | 90.58 Bn |
| Mar 31, 2023 | 92.06 Bn |
| Dec 31, 2022 | 98.98 Bn |
| Sep 30, 2022 | 93.91 Bn |
| Jun 30, 2022 | 87.40 Bn |
| Mar 31, 2022 | 95.16 Bn |
| Dec 31, 2021 | 103.66 Bn |
API Access
Automatic Data Processing Market Capitalization 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=market-capitalization&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();