Automatic Data Processing (ADP) Non Operating Interest Expenses (2009 - 2026)
Automatic Data Processing (ADP) reported Non Operating Interest Expenses of $121 million for 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) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Non Operating Interest Expenses of $459.3 million, up 0.7% from FY2025.
- Non Operating Interest Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 50.4% (FY2021 to FY2026).
- By fiscal year, Non Operating 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%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $18.4 million in fiscal Q2 2022 and a high of $137.8 million in fiscal Q1 2025.
- Year over year, Non Operating Interest Expenses gained in six of the last eight quarters, with growth averaging 13.8%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q4 2023 (growth of 301.9%); the low point was fiscal Q4 2024 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();