Automatic Data Processing (ADP) Current Assets (2009 - 2026)
Automatic Data Processing (ADP) recorded Current Assets of $52.56 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.5% from $43.25 billion a year earlier but down 3.1% from the prior quarter.
Automatic Data Processing (ADP) Current Assets (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Automatic Data Processing's Current Assets history includes 69 quarters.
- Annual Current Assets has a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- Across earlier fiscal years, Current Assets came in at $43.25 billion in FY2025 (-5.0%), $45.54 billion in FY2024 (+8.0%), $42.17 billion in FY2023 (-23.1%) and $54.8 billion in FY2022 (+34.5%).
- Quarterly Current Assets has ranged from $37.97 billion in fiscal Q1 2023 to $74.47 billion in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Current Assets has increased for four consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 49.5% in fiscal Q1 2022, against a decline of 27.1% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $54.23 billion (Q3 2026), $74.47 billion (Q2 2026) and $44.2 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 11.10 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 55.63 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 25.87 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 22.08 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 8.51 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 52.56 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 15.31 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 2.67 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 2.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.56 Bn |
| Mar 31, 2026 | 54.23 Bn |
| Dec 31, 2025 | 74.47 Bn |
| Sep 30, 2025 | 44.20 Bn |
| Jun 30, 2025 | 43.25 Bn |
| Mar 31, 2025 | 46.54 Bn |
| Dec 31, 2024 | 54.25 Bn |
| Sep 30, 2024 | 39.91 Bn |
| Jun 30, 2024 | 45.54 Bn |
| Mar 31, 2024 | 55.64 Bn |
| Dec 31, 2023 | 48.54 Bn |
| Sep 30, 2023 | 40.48 Bn |
| Jun 30, 2023 | 42.17 Bn |
| Mar 31, 2023 | 51.52 Bn |
| Dec 31, 2022 | 46.14 Bn |
| Sep 30, 2022 | 37.97 Bn |
| Jun 30, 2022 | 54.80 Bn |
| Mar 31, 2022 | 63.90 Bn |
| Dec 31, 2021 | 51.11 Bn |
| Sep 30, 2021 | 52.05 Bn |
Automatic Data Processing 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=current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();