Automatic Data Processing (ADP) Interest Expenses (2009 - 2026)
Automatic Data Processing (ADP) recorded Interest Expenses of $121 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 6.4% from $113.7 million a year earlier and up 53.7% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing reported Interest Expenses of $459.3 million, up 0.7% from FY2025.
- Annual Interest Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 50.4% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $455.9 million in FY2025 (+26.1%), $361.4 million in FY2024 (+42.7%), $253.3 million in FY2023 (+209.3%) and $81.9 million in FY2022 (+37.2%).
- Quarterly Interest Expenses has ranged from $18.4 million in fiscal Q2 2022 to $137.8 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Interest Expenses rose in six of the last eight quarters, with growth averaging 13.8%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 301.9% in fiscal Q4 2023, against a decline of 4.4% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $78.7 million (Q3 2026), $124.1 million (Q2 2026) and $135.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 1.43 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | -8.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();