Automatic Data Processing (ADP) Interest Paid (2015 - 2026)
Automatic Data Processing's Interest Paid came in at $130.7 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.3% from $130.3 million a year earlier and up 17.6% from the prior quarter.
Automatic Data Processing (ADP) Interest Paid (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Automatic Data Processing reported Interest Paid of $440 million, up 5.7% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $439.6 million, up 3.0% from FY2025.
- Interest Paid has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 52.6% (FY2021 to FY2026).
- Going back by fiscal year, Interest Paid was $426.8 million in FY2025 (+20.6%), $353.9 million in FY2024 (+43.6%), $246.5 million in FY2023 (+229.5%) and $74.8 million in FY2022 (+40.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Interest Paid since fiscal Q1 2025.
- Year-over-year, Interest Paid increased in five of the last eight quarters, with growth averaging 7.1%.
- The fastest year-over-year change in Interest Paid over five years came in fiscal Q4 2023 (growth of 453.7%), and the weakest in fiscal Q3 2026 (a decline of 17.5%).
- Business Quant data shows ADP's Interest Paid at $111.1 million (Q4 2026), $74.6 million (Q3 2026) and $123.6 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | - |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | -98.94 Mn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 153.00 Mn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 130.70 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 21.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | - |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 130.70 Mn |
| Jun 30, 2026 | 111.10 Mn |
| Mar 31, 2026 | 74.60 Mn |
| Dec 31, 2025 | 123.60 Mn |
| Sep 30, 2025 | 130.30 Mn |
| Jun 30, 2025 | 86.90 Mn |
| Mar 31, 2025 | 90.40 Mn |
| Dec 31, 2024 | 108.80 Mn |
| Sep 30, 2024 | 140.70 Mn |
| Jun 30, 2024 | 93.00 Mn |
| Mar 31, 2024 | 68.10 Mn |
| Dec 31, 2023 | 95.80 Mn |
| Sep 30, 2023 | 97.00 Mn |
| Jun 30, 2023 | 98.00 Mn |
| Mar 31, 2023 | 44.00 Mn |
| Dec 31, 2022 | 47.80 Mn |
| Sep 30, 2022 | 56.70 Mn |
| Jun 30, 2022 | 17.70 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | 9.20 Mn |
Automatic Data Processing Interest Paid 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=interest-paid&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();