Automatic Data Processing (ADP) Total Current Liabilities (2009 - 2026)
Automatic Data Processing's Total Current Liabilities was $50.02 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.2% from $41.28 billion a year earlier but down 3.8% from the prior quarter.
Automatic Data Processing (ADP) Total Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q4 2009 onward, Automatic Data Processing has reported Total Current Liabilities for 69 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $41.28 billion in FY2025 (-8.4%), $45.08 billion in FY2024 (+5.4%), $42.77 billion in FY2023 (-22.5%) and $55.16 billion in FY2022 (+44.8%).
- Quarterly Total Current Liabilities has moved between $39.17 billion (fiscal Q1 2023) and $72.14 billion (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 7.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q1 2022 (growth of 53.6%); the worst was fiscal Q4 2023 (a decline of 22.5%).
- Per Business Quant data, ADP's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $52.02 billion (Q3 2026), $72.14 billion (Q2 2026) and $41.93 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 47.51 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 22.54 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 8.70 Bn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 4.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.02 Bn |
| Mar 31, 2026 | 52.02 Bn |
| Dec 31, 2025 | 72.14 Bn |
| Sep 30, 2025 | 41.93 Bn |
| Jun 30, 2025 | 41.28 Bn |
| Mar 31, 2025 | 45.85 Bn |
| Dec 31, 2024 | 54.30 Bn |
| Sep 30, 2024 | 39.37 Bn |
| Jun 30, 2024 | 45.08 Bn |
| Mar 31, 2024 | 54.90 Bn |
| Dec 31, 2023 | 48.10 Bn |
| Sep 30, 2023 | 41.23 Bn |
| Jun 30, 2023 | 42.77 Bn |
| Mar 31, 2023 | 51.54 Bn |
| Dec 31, 2022 | 46.81 Bn |
| Sep 30, 2022 | 39.17 Bn |
| Jun 30, 2022 | 55.16 Bn |
| Mar 31, 2022 | 63.11 Bn |
| Dec 31, 2021 | 49.08 Bn |
| Sep 30, 2021 | 49.67 Bn |
Automatic Data Processing Total 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-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();