Automatic Data Processing (ADP) Total Non-Current Liabilities (2009 - 2026)
Automatic Data Processing (ADP) reported Total Non-Current Liabilities of $56.02 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.5% from $46.12 billion a year earlier but down 1.8% from the prior quarter.
Automatic Data Processing (ADP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Automatic Data Processing's Total Non-Current Liabilities record includes 69 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $46.12 billion in FY2025 (-5.5%), $48.82 billion in FY2024 (+4.9%), $46.53 billion in FY2023 (-21.0%) and $58.92 billion in FY2022 (+39.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $42.89 billion in fiscal Q1 2023 and a high of $77.2 billion in fiscal Q2 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q1 2022 (growth of 50.5%); the low point was fiscal Q4 2023 (a decline of 21.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $57.05 billion (Q3 2026), $77.2 billion (Q2 2026) and $46.91 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 188.55 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 12.14 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 1.33 Mn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 6.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.02 Bn |
| Mar 31, 2026 | 57.05 Bn |
| Dec 31, 2025 | 77.20 Bn |
| Sep 30, 2025 | 46.91 Bn |
| Jun 30, 2025 | 46.12 Bn |
| Mar 31, 2025 | 49.60 Bn |
| Dec 31, 2024 | 58.02 Bn |
| Sep 30, 2024 | 43.19 Bn |
| Jun 30, 2024 | 48.82 Bn |
| Mar 31, 2024 | 58.62 Bn |
| Dec 31, 2023 | 51.83 Bn |
| Sep 30, 2023 | 44.96 Bn |
| Jun 30, 2023 | 46.53 Bn |
| Mar 31, 2023 | 55.27 Bn |
| Dec 31, 2022 | 50.53 Bn |
| Sep 30, 2022 | 42.89 Bn |
| Jun 30, 2022 | 58.92 Bn |
| Mar 31, 2022 | 66.92 Bn |
| Dec 31, 2021 | 53.21 Bn |
| Sep 30, 2021 | 53.82 Bn |
Automatic Data Processing Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();