Automatic Data Processing (ADP) Net Short-Term Debt Issued (Repaid) (2012 - 2025)
Automatic Data Processing (ADP) recorded Net Short-Term Debt Issued (Repaid) of -$4.77 billion in FY2026 (year ended Jun 30, 2026), compared with $4.77 billion in FY2025.
Automatic Data Processing (ADP) Net Short-Term Debt Issued (Repaid) (2012 - 2025) Analysis & Trends
Starting with FY2009, Automatic Data Processing's Net Short-Term Debt Issued (Repaid) history includes 6 fiscal years.
- The FY2026 figure is the lowest annual Net Short-Term Debt Issued (Repaid) in data going back to FY2009.
- Per Business Quant data, ADP's Net Short-Term Debt Issued (Repaid) was $4.77 billion in FY2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | -17.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | - |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 48.75 Bn | 44.72 Bn | - | -1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -5.21 Bn |
| Sep 30, 2025 | 438.50 Mn |
| Jun 30, 2025 | 4.77 Bn |
| Dec 31, 2024 | -4.38 Bn |
| Sep 30, 2024 | 4.38 Bn |
| Dec 31, 2019 | -3.54 Bn |
| Sep 30, 2019 | 3.54 Bn |
| Dec 31, 2018 | 1.21 Bn |
| Dec 31, 2014 | -1.94 Bn |
| Sep 30, 2014 | -236.00 Mn |
| Jun 30, 2014 | 2.42 Bn |
| Dec 31, 2013 | -344.60 Mn |
| Sep 30, 2013 | 98.70 Mn |
| Mar 31, 2013 | -13.50 Mn |
| Dec 31, 2012 | -428.20 Mn |
| Sep 30, 2012 | 441.70 Mn |
Automatic Data Processing Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();