Automatic Data Processing (ADP) Notes Payables (2013 - 2025)
Automatic Data Processing's (ADP) quarterly Notes Payables came in at $5.2 billion in Q3 2025, up 18.36% year-over-year from $4.4 billion in Q3 2024, and up 8.5% quarter-over-quarter from $4.8 billion in Q2 2025.
Automatic Data Processing (ADP) Notes Payables (2013 - 2025) Analysis & Trends
Automatic Data Processing (ADP) has reported Notes Payables for 7 consecutive years, with $5.2 billion the latest figure, recorded in Q3 2025.
- On a quarterly basis, Notes Payables rose 18.36% year-over-year to $5.2 billion in Q3 2025; TTM through Sep 2025 was $5.2 billion, a 18.36% increase from a year earlier, with the FY2025 full-year figure at $4.8 billion, changed N/A from the prior year.
- Notes Payables was $5.2 billion for Q3 2025 at Automatic Data Processing, up from $4.8 billion in the prior quarter.
- Over five years, Notes Payables peaked at $5.2 billion in Q3 2025 and troughed at $1.0 billion in Q4 2024.
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 |
|---|---|
| Sep 30, 2025 | 5.21 Bn |
| Jun 30, 2025 | 4.80 Bn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 1.00 Bn |
| Sep 30, 2024 | 4.40 Bn |
| Jun 30, 2020 | 1.00 Bn |
| Mar 31, 2020 | 1.00 Bn |
| Dec 31, 2019 | 1.00 Bn |
| Sep 30, 2019 | 3.54 Bn |
| Dec 31, 2018 | 1.21 Bn |
| Sep 30, 2014 | 1.94 Bn |
| Jun 30, 2014 | 2.17 Bn |
| Sep 30, 2013 | 2.48 Bn |
Automatic Data Processing Notes Payables 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=notes-payables&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();