Automatic Data Processing (ADP) Other Non-Current Liabilities (2009 - 2026)
Automatic Data Processing's Other Non-Current Liabilities came in at $1.14 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.9% from $1.06 billion a year earlier and up 4.8% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Automatic Data Processing's Other Non-Current Liabilities data covers 69 quarters.
- Other Non-Current Liabilities has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $1.06 billion in FY2025 (+6.8%), $990.8 million in FY2024 (+6.1%), $933.7 million in FY2023 (+1.0%) and $924.2 million in FY2022 (+10.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Other Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q3 2022 (growth of 18.3%), and the weakest in fiscal Q3 2023 (a decline of 3.7%).
- Business Quant data shows ADP's Other Non-Current Liabilities at $1.09 billion (Q3 2026), $1.05 billion (Q2 2026) and $1.04 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 | 1.14 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 991.20 Mn |
| Dec 31, 2024 | 999.30 Mn |
| Sep 30, 2024 | 977.00 Mn |
| Jun 30, 2024 | 990.80 Mn |
| Mar 31, 2024 | 935.50 Mn |
| Dec 31, 2023 | 918.90 Mn |
| Sep 30, 2023 | 893.00 Mn |
| Jun 30, 2023 | 933.70 Mn |
| Mar 31, 2023 | 918.70 Mn |
| Dec 31, 2022 | 931.60 Mn |
| Sep 30, 2022 | 902.10 Mn |
| Jun 30, 2022 | 924.20 Mn |
| Mar 31, 2022 | 954.20 Mn |
| Dec 31, 2021 | 843.60 Mn |
| Sep 30, 2021 | 813.60 Mn |
API Access
Automatic Data Processing Other 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=other-non-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();