Automatic Data Processing (ADP) Non-Current Assets (2009 - 2026)
Automatic Data Processing (ADP) recorded Non-Current Assets of $10.63 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.1% from $10.12 billion a year earlier and up 3.7% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Non-Current Assets (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Automatic Data Processing's Non-Current Assets history includes 69 quarters.
- Annual Non-Current Assets has increased for ten straight fiscal years, with a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $10.12 billion in FY2025 (+14.7%), $8.82 billion in FY2024 (+0.2%), $8.8 billion in FY2023 (+6.5%) and $8.26 billion in FY2022 (+2.9%).
- The fiscal Q4 2026 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Non-Current Assets has increased for 21 consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 0.2% (fiscal Q4 2024) to 16.0% (fiscal Q3 2025).
- Per Business Quant, the preceding three fiscal quarters came in at $10.25 billion (Q3 2026), $10.17 billion (Q2 2026) and $10.12 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 579.05 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 247.63 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 60.49 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 87.54 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 23.15 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 10.63 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 21.48 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 49.89 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 15.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.63 Bn |
| Mar 31, 2026 | 10.25 Bn |
| Dec 31, 2025 | 10.17 Bn |
| Sep 30, 2025 | 10.12 Bn |
| Jun 30, 2025 | 10.12 Bn |
| Mar 31, 2025 | 9.91 Bn |
| Dec 31, 2024 | 9.84 Bn |
| Sep 30, 2024 | 9.60 Bn |
| Jun 30, 2024 | 8.82 Bn |
| Mar 31, 2024 | 8.54 Bn |
| Dec 31, 2023 | 8.53 Bn |
| Sep 30, 2023 | 8.84 Bn |
| Jun 30, 2023 | 8.80 Bn |
| Mar 31, 2023 | 8.36 Bn |
| Dec 31, 2022 | 8.31 Bn |
| Sep 30, 2022 | 8.40 Bn |
| Jun 30, 2022 | 8.26 Bn |
| Mar 31, 2022 | 8.16 Bn |
| Dec 31, 2021 | 8.00 Bn |
| Sep 30, 2021 | 7.94 Bn |
API Access
Automatic Data Processing 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=non-current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();