Automatic Data Processing (ADP) Total Debt (2009 - 2026)
Automatic Data Processing (ADP) posted Total Debt of $4.96 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 43.4% from $8.77 billion a year earlier but up 24.8% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Total Debt (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Automatic Data Processing has reported Total Debt for 69 quarters.
- Annual Total Debt shows a five-year compound annual growth rate of 10.7% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Total Debt was $8.77 billion in FY2025 (+193.3%), $2.99 billion in FY2024 (+0.1%), $2.99 billion in FY2023 (+0.1%) and $2.99 billion in FY2022 (+0.1%).
- Quarterly Total Debt has run from a low of $2.99 billion in fiscal Q1 2022 to a high of $9.18 billion in fiscal Q1 2026 over five years.
- On a year-over-year basis, Total Debt has declined in each of the last three quarters, with growth averaging 48.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q4 2025, with growth of 193.3%; the weakest was fiscal Q4 2026, with a decline of 43.4%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $3.98 billion (Q3 2026), $3.98 billion (Q2 2026) and $9.18 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | - |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 125.34 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 9.68 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 39.29 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 4.97 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 7.52 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | 3.11 Bn |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 6.72 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 4.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.97 Bn |
| Jun 30, 2026 | 4.96 Bn |
| Mar 31, 2026 | 3.98 Bn |
| Dec 31, 2025 | 3.98 Bn |
| Sep 30, 2025 | 9.18 Bn |
| Jun 30, 2025 | 8.77 Bn |
| Mar 31, 2025 | 3.98 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 30, 2024 | 7.38 Bn |
| Jun 30, 2024 | 2.99 Bn |
| Mar 31, 2024 | 2.99 Bn |
| Dec 31, 2023 | 2.99 Bn |
| Sep 30, 2023 | 2.99 Bn |
| Jun 30, 2023 | 2.99 Bn |
| Mar 31, 2023 | 2.99 Bn |
| Dec 31, 2022 | 2.99 Bn |
| Sep 30, 2022 | 2.99 Bn |
| Jun 30, 2022 | 2.99 Bn |
| Mar 31, 2022 | 2.99 Bn |
| Dec 31, 2021 | 2.99 Bn |
API Access
Automatic Data Processing Total Debt 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=total-debt&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();