Automatic Data Processing (ADP) Long-Term Debt Repayments (2009 - 2026)
Automatic Data Processing (ADP) posted Long-Term Debt Repayments of $300,000 for fiscal Q1 2027 (quarter ended Sep 30, 2026), unchanged from $300,000 a year earlier and unchanged from the prior quarter.
Automatic Data Processing (ADP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Automatic Data Processing was $1.1 million, down 99.9% year-over-year; for FY2026 (ended Jun 30, 2026), it was $1.1 million, down 99.9% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -74.4% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Long-Term Debt Repayments was $1 billion in FY2025, $900,000 in FY2024 (-10.0%), $1 million in FY2023 (+11.1%) and $900,000 in FY2022 (-99.9%).
- Quarterly Long-Term Debt Repayments has run from a low of $200,000 in fiscal Q3 2022 to a high of $1 billion in fiscal Q4 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last seven quarters, with an average decline of 11.9%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2025, with growth of 50.0%; the weakest was fiscal Q4 2026, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $300,000 (Q4 2026), $300,000 (Q3 2026) and $200,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 4.20 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 176.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 300,000.00 |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | - |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | - |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 449,000.00 |
| 10 | Thomson Reuters | 47.89 Bn | 43.52 Bn | - | 500.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 300,000.00 |
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 1.00 Bn |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 300,000.00 |
| Sep 30, 2024 | 300,000.00 |
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 200,000.00 |
| Jun 30, 2023 | 300,000.00 |
| Mar 31, 2023 | 200,000.00 |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 200,000.00 |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | 300,000.00 |
Automatic Data Processing Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();