Automatic Data Processing (ADP) Interest Expenses (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Interest Expenses came in at $121.0 million in Q2 2026, up 6.42% year-over-year from $113.7 million in Q2 2025, and up 53.75% quarter-over-quarter from $78.7 million in Q1 2026.
Automatic Data Processing (ADP) Interest Expenses (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Interest Expenses for 18 consecutive years, with $121.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Interest Expenses rose 6.42% year-over-year to $121.0 million in Q2 2026; TTM through Jun 2026 was $459.2 million, a 0.72% increase from a year earlier, with the FY2026 full-year figure at $459.3 million, up 0.75% from the prior year.
- Interest Expenses was $121.0 million for Q2 2026 at Automatic Data Processing, up from $78.7 million in the prior quarter.
- Over five years, Interest Expenses peaked at $137.8 million in Q3 2024 and troughed at $18.4 million in Q1 2022.
- A 5-year average of $87.5 million and a median of $96.9 million in 2023 frame the typical range for Interest Expenses.
- Across the five-year window, Interest Expenses soared 301.88% in 2023 and declined 4.4% in 2024, its largest moves.
- Over 5 years, Interest Expenses stood at $57.0 million in 2022, then soared by 84.04% to $104.9 million in 2023, then increased by 23.55% to $129.6 million in 2024, then retreated by 4.24% to $124.1 million in 2025, then declined by 2.5% to $121.0 million in 2026.
- The last three Interest Expenses figures came in at $121.0 million (Q2 2026), $78.7 million (Q1 2026), and $124.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 1.43 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 70.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | - |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.00 Mn |
| Mar 31, 2026 | 78.70 Mn |
| Dec 31, 2025 | 124.10 Mn |
| Sep 30, 2025 | 135.40 Mn |
| Jun 30, 2025 | 113.70 Mn |
| Mar 31, 2025 | 74.80 Mn |
| Dec 31, 2024 | 129.60 Mn |
| Sep 30, 2024 | 137.80 Mn |
| Jun 30, 2024 | 102.20 Mn |
| Mar 31, 2024 | 62.70 Mn |
| Dec 31, 2023 | 104.90 Mn |
| Sep 30, 2023 | 91.60 Mn |
| Jun 30, 2023 | 106.90 Mn |
| Mar 31, 2023 | 38.30 Mn |
| Dec 31, 2022 | 57.00 Mn |
| Sep 30, 2022 | 51.20 Mn |
| Jun 30, 2022 | 26.60 Mn |
| Mar 31, 2022 | 18.40 Mn |
| Dec 31, 2021 | 18.40 Mn |
| Sep 30, 2021 | 18.50 Mn |
Automatic Data Processing Interest Expenses 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-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();