Automatic Data Processing (ADP) Price to FCF (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Price to FCF came in at 65.74 in Q2 2026, down 26.1% year-over-year from 88.96 in Q2 2025, and up 76.66% quarter-over-quarter from 37.21 in Q1 2026.
Automatic Data Processing (ADP) Price to FCF (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Price to FCF for 18 consecutive years, with 65.74 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to FCF fell 26.1% year-over-year to 65.74 in Q2 2026; TTM through Jun 2026 was 16.99, a 35.16% decrease from a year earlier, with the FY2026 full-year figure at 16.99, down 35.16% from the prior year.
- Price to FCF was 65.74 for Q2 2026 at Automatic Data Processing, up from 37.21 in the prior quarter.
- Over five years, Price to FCF peaked at 344.87 in Q3 2023 and troughed at 37.21 in Q1 2026.
- A 5-year average of 112.45 and a median of 95.78 in 2023 frame the typical range for Price to FCF.
- Across the five-year window, Price to FCF slumped 85.77% in 2022 and surged 147.03% in 2023, its largest moves.
- Over 5 years, Price to FCF stood at 116.45 in 2022, then slipped by 15.95% to 97.87 in 2023, then rose by 9.55% to 107.22 in 2024, then fell by 12.62% to 93.69 in 2025, then fell by 29.84% to 65.74 in 2026.
- The last three Price to FCF figures came in at 65.74 (Q2 2026), 37.21 (Q1 2026), and 93.69 (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 | 16.99 |
| Mar 31, 2026 | 15.37 |
| Dec 31, 2025 | 22.55 |
| Sep 30, 2025 | 25.83 |
| Jun 30, 2025 | 26.20 |
| Mar 31, 2025 | 26.92 |
| Dec 31, 2024 | 26.12 |
| Sep 30, 2024 | 25.48 |
| Jun 30, 2024 | 24.67 |
| Mar 31, 2024 | 26.73 |
| Dec 31, 2023 | 25.56 |
| Sep 30, 2023 | 27.39 |
| Jun 30, 2023 | 22.64 |
| Mar 31, 2023 | 24.60 |
| Dec 31, 2022 | 29.92 |
| Sep 30, 2022 | 26.74 |
| Jun 30, 2022 | 29.88 |
| Mar 31, 2022 | 35.52 |
| Dec 31, 2021 | 35.17 |
| Sep 30, 2021 | 32.93 |
Automatic Data Processing Price to FCF 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-fcf&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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-fcf&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();