Automatic Data Processing (ADP) Price to Earnings (2009 - 2026)
Automatic Data Processing's (ADP) Price to Earnings was 20.19 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 34.1% from 30.64 a year earlier but up 7.8% from the prior quarter.
Automatic Data Processing (ADP) Price to Earnings (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Automatic Data Processing's Price to Earnings record includes 69 quarters.
- By fiscal year, Price to Earnings came in at 30.64 in FY2025 (+18.0%), 25.96 in FY2024 (-2.2%), 26.55 in FY2023 (-10.4%) and 29.64 in FY2022 (-8.5%).
- Five-year quarterly Price to Earnings spans a low of 18.73 in fiscal Q3 2026 and a high of 37.78 in fiscal Q2 2022.
- Year over year, Price to Earnings has now declined in each of the last four quarters, with an average decline of 6.1% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was fiscal Q1 2022 (growth of 29.9%); the low point was fiscal Q3 2026 (a decline of 39.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 18.73 (Q3 2026), 24.48 (Q2 2026) and 28.73 (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 | 20.19 |
| Mar 31, 2026 | 18.73 |
| Dec 31, 2025 | 24.48 |
| Sep 30, 2025 | 28.73 |
| Jun 30, 2025 | 30.64 |
| Mar 31, 2025 | 31.05 |
| Dec 31, 2024 | 30.28 |
| Sep 30, 2024 | 29.31 |
| Jun 30, 2024 | 25.96 |
| Mar 31, 2024 | 27.66 |
| Dec 31, 2023 | 26.89 |
| Sep 30, 2023 | 28.36 |
| Jun 30, 2023 | 26.55 |
| Mar 31, 2023 | 28.23 |
| Dec 31, 2022 | 31.46 |
| Sep 30, 2022 | 31.02 |
| Jun 30, 2022 | 29.64 |
| Mar 31, 2022 | 33.25 |
| Dec 31, 2021 | 37.78 |
| Sep 30, 2021 | 31.28 |
Automatic Data Processing Price to Earnings 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=price-to-earnings&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();