Automatic Data Processing (ADP) Total Liabilities (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Total Liabilities came in at $57.2 billion in Q2 2026, up 21.15% year-over-year from $47.2 billion in Q2 2025, and down 1.67% quarter-over-quarter from $58.1 billion in Q1 2026.
Automatic Data Processing (ADP) Total Liabilities (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Total Liabilities for 18 consecutive years, with $57.2 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Total Liabilities rose 21.15% year-over-year to $57.2 billion in Q2 2026; TTM through Jun 2026 was $57.2 billion, a 21.15% increase from a year earlier, with the FY2026 full-year figure at $57.2 billion, up 21.15% from the prior year.
- Total Liabilities was $57.2 billion for Q2 2026 at Automatic Data Processing, down from $58.1 billion in the prior quarter.
- Over five years, Total Liabilities peaked at $78.2 billion in Q4 2025 and troughed at $43.8 billion in Q3 2022.
- A 5-year average of $54.3 billion and a median of $52.1 billion in 2022 frame the typical range for Total Liabilities.
- Across the five-year window, Total Liabilities soared 39.28% in 2022 and dropped 20.69% in 2023, its largest moves.
- Over 5 years, Total Liabilities stood at $51.5 billion in 2022, then increased by 2.49% to $52.7 billion in 2023, then advanced by 11.88% to $59.0 billion in 2024, then surged by 32.58% to $78.2 billion in 2025, then decreased by 26.95% to $57.2 billion in 2026.
- The last three Total Liabilities figures came in at $57.2 billion (Q2 2026), $58.1 billion (Q1 2026), and $78.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 236.06 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 17.79 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | 18.48 Bn |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 7.24 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 9.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.16 Bn |
| Mar 31, 2026 | 58.13 Bn |
| Dec 31, 2025 | 78.25 Bn |
| Sep 30, 2025 | 47.95 Bn |
| Jun 30, 2025 | 47.18 Bn |
| Mar 31, 2025 | 50.59 Bn |
| Dec 31, 2024 | 59.02 Bn |
| Sep 30, 2024 | 44.16 Bn |
| Jun 30, 2024 | 49.82 Bn |
| Mar 31, 2024 | 59.55 Bn |
| Dec 31, 2023 | 52.75 Bn |
| Sep 30, 2023 | 45.85 Bn |
| Jun 30, 2023 | 47.46 Bn |
| Mar 31, 2023 | 56.19 Bn |
| Dec 31, 2022 | 51.47 Bn |
| Sep 30, 2022 | 43.79 Bn |
| Jun 30, 2022 | 59.84 Bn |
| Mar 31, 2022 | 67.88 Bn |
| Dec 31, 2021 | 54.05 Bn |
| Sep 30, 2021 | 54.64 Bn |
Automatic Data Processing Total 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-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();