Automatic Data Processing (ADP) Notes Payables (2013 - 2025)
Automatic Data Processing (ADP) reported Notes Payables of $5.21 billion for fiscal Q1 2026 (quarter ended Sep 30, 2025), up 18.4% from $4.4 billion a year earlier and up 8.5% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Notes Payables (2013 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Automatic Data Processing posted Notes Payables of $4.8 billion.
- Notes Payables has a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- The fiscal Q1 2026 figure ranks as the highest quarterly Notes Payables in data going back to fiscal Q1 2014.
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $4.8 billion (Q4 2025), $1 billion (Q3 2025) and $1 billion (Q2 2025).
Peer Set
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
Download Data
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 |
API Access
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_KEYimport 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();