Automatic Data Processing (ADP) Other Non-Current Assets (2009 - 2026)
Automatic Data Processing (ADP) reported Other Non-Current Assets of $1.42 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 34.4% from $1.06 billion a year earlier and up 22.6% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Automatic Data Processing's Other Non-Current Assets record includes 69 quarters.
- Other Non-Current Assets has a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Assets came in at $1.06 billion in FY2025 (-4.1%), $1.1 billion in FY2024 (-12.2%), $1.26 billion in FY2023 (+33.9%) and $937.4 million in FY2022 (+13.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Non-Current Assets in data going back to fiscal Q4 2009.
- Year over year, Other Non-Current Assets has now increased in each of the last four quarters, with growth averaging 5.4% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was fiscal Q3 2022 (growth of 91.5%); the low point was fiscal Q1 2025 (a decline of 31.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.16 billion (Q3 2026), $1.11 billion (Q2 2026) and $1.08 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 287.38 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 11.93 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 5.08 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 5.99 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 379.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 1.42 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 800.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 130.20 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 705.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.16 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 999.90 Mn |
| Dec 31, 2024 | 951.90 Mn |
| Sep 30, 2024 | 923.20 Mn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 995.80 Mn |
| Sep 30, 2023 | 1.35 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 959.90 Mn |
| Dec 31, 2022 | 990.90 Mn |
| Sep 30, 2022 | 1.14 Bn |
| Jun 30, 2022 | 937.40 Mn |
| Mar 31, 2022 | 910.00 Mn |
| Dec 31, 2021 | 868.00 Mn |
| Sep 30, 2021 | 817.50 Mn |
API Access
Automatic Data Processing Other Non-Current Assets 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=other-non-current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();