Automatic Data Processing (ADP) Enterprise Value (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Enterprise Value came in at $84.9 billion in Q2 2026, down 27.56% year-over-year from $117.1 billion in Q2 2025, and up 8.56% quarter-over-quarter from $78.2 billion in Q1 2026.
Automatic Data Processing (ADP) Enterprise Value (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Enterprise Value for 18 consecutive years, with $84.9 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Enterprise Value fell 27.56% year-over-year to $84.9 billion in Q2 2026; TTM through Jun 2026 was $84.9 billion, a 27.56% decrease from a year earlier, with the FY2026 full-year figure at $84.9 billion, down 27.56% from the prior year.
- Enterprise Value was $84.9 billion for Q2 2026 at Automatic Data Processing, up from $78.2 billion in the prior quarter.
- Over five years, Enterprise Value peaked at $121.5 billion in Q1 2025 and troughed at $78.2 billion in Q1 2026.
- A 5-year average of $98.3 billion and a median of $95.9 billion in 2023 frame the typical range for Enterprise Value.
- Across the five-year window, Enterprise Value gained 24.48% in 2025 and tumbled 35.64% in 2026, its largest moves.
- Over 5 years, Enterprise Value stood at $97.6 billion in 2022, then decreased by 3.69% to $94.0 billion in 2023, then grew by 24.3% to $116.9 billion in 2024, then declined by 13.43% to $101.2 billion in 2025, then slipped by 16.14% to $84.9 billion in 2026.
- The last three Enterprise Value figures came in at $84.9 billion (Q2 2026), $78.2 billion (Q1 2026), and $101.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.86 Bn |
| Mar 31, 2026 | 78.17 Bn |
| Dec 31, 2025 | 101.19 Bn |
| Sep 30, 2025 | 110.89 Bn |
| Jun 30, 2025 | 117.15 Bn |
| Mar 31, 2025 | 121.46 Bn |
| Dec 31, 2024 | 116.90 Bn |
| Sep 30, 2024 | 105.48 Bn |
| Jun 30, 2024 | 94.11 Bn |
| Mar 31, 2024 | 99.05 Bn |
| Dec 31, 2023 | 94.04 Bn |
| Sep 30, 2023 | 97.61 Bn |
| Jun 30, 2023 | 88.49 Bn |
| Mar 31, 2023 | 90.23 Bn |
| Dec 31, 2022 | 97.64 Bn |
| Sep 30, 2022 | 92.71 Bn |
| Jun 30, 2022 | 85.96 Bn |
| Mar 31, 2022 | 93.52 Bn |
| Dec 31, 2021 | 101.92 Bn |
| Sep 30, 2021 | 82.76 Bn |
Automatic Data Processing Enterprise Value 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=enterprise-value&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();