Automatic Data Processing (ADP) Non Operating Income (2009 - 2026)
Automatic Data Processing (ADP) reported Non Operating Income of $119.7 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.6% from $97.6 million a year earlier and up 59.6% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Non Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Non Operating Income of $410.6 million, up 16.0% from FY2025.
- Non Operating Income has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 33.6% (FY2021 to FY2026).
- By fiscal year, Non Operating Income came in at $354.1 million in FY2025 (+23.5%), $286.7 million in FY2024 (+56.2%), $183.5 million in FY2023 (+121.6%) and $82.8 million in FY2022 (-14.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Non Operating Income since fiscal Q2 2017.
- Year over year, Non Operating Income has now increased in each of the last five quarters, with growth averaging 20.4% over the last eight quarters.
- The high point for year-over-year Non Operating Income in five years was fiscal Q2 2024 (growth of 112.5%); the low point was fiscal Q4 2022 (a decline of 89.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $75 million (Q3 2026), $105.8 million (Q2 2026) and $110.1 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 468.43 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 119.70 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | - |
| 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 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.70 Mn |
| Mar 31, 2026 | 75.00 Mn |
| Dec 31, 2025 | 105.80 Mn |
| Sep 30, 2025 | 110.10 Mn |
| Jun 30, 2025 | 97.60 Mn |
| Mar 31, 2025 | 63.70 Mn |
| Dec 31, 2024 | 91.10 Mn |
| Sep 30, 2024 | 101.70 Mn |
| Jun 30, 2024 | 89.90 Mn |
| Mar 31, 2024 | 64.30 Mn |
| Dec 31, 2023 | 64.80 Mn |
| Sep 30, 2023 | 67.70 Mn |
| Jun 30, 2023 | 77.20 Mn |
| Mar 31, 2023 | 36.30 Mn |
| Dec 31, 2022 | 30.50 Mn |
| Sep 30, 2022 | 39.50 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 26.60 Mn |
| Sep 30, 2021 | 28.80 Mn |
API Access
Automatic Data Processing Non Operating Income 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-income&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-income&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();