Automatic Data Processing (ADP) Total Liabilities (2009 - 2026)
Automatic Data Processing (ADP) posted Total Liabilities of $58.36 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 21.7% from $47.95 billion a year earlier and up 2.1% from the prior quarter.
Powered by 
Analysis
Automatic Data Processing (ADP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Automatic Data Processing's Total Liabilities came in at $57.16 billion, up 21.2% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Total Liabilities was $47.18 billion in FY2025 (-5.3%), $49.82 billion in FY2024 (+5.0%), $47.46 billion in FY2023 (-20.7%) and $59.84 billion in FY2022 (+38.8%).
- Quarterly Total Liabilities has run from a low of $43.79 billion in fiscal Q1 2023 to a high of $78.25 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 39.3%; the weakest was fiscal Q4 2023, with a decline of 20.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $57.16 billion (Q4 2026), $58.13 billion (Q3 2026) and $78.25 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 236.06 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | 18.26 Bn |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -14.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.36 Bn |
| 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 |
API Access
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_KEYimport 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();