Automatic Data Processing (ADP) Long-Term Debt Repayments (2009 - 2026)
Automatic Data Processing (ADP) posted Long-Term Debt Repayments of $300,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 100.0% from $1 billion a year earlier and unchanged from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Long-Term Debt Repayments came in at $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 Q1 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 two of the last seven quarters, with an average decline of 4.8%.
- 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 Q1 2022, with a decline of 100.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $300,000 (Q3 2026), $200,000 (Q2 2026) and $300,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 4.20 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | - |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Workday | 45.93 Bn | 22.06 Bn | 2.00 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 200,000.00 |
API Access
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();