Automatic Data Processing (ADP) Accounts Payables (2009 - 2026)
Automatic Data Processing (ADP) posted Accounts Payables of $162.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.9% from $169.1 million a year earlier but up 19.4% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Accounts Payables (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Automatic Data Processing has reported Accounts Payables for 69 quarters.
- Annual Accounts Payables shows a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Accounts Payables was $169.1 million in FY2025 (+68.1%), $100.6 million in FY2024 (+3.9%), $96.8 million in FY2023 (-12.2%) and $110.2 million in FY2022 (-21.9%).
- Quarterly Accounts Payables has run from a low of $67.4 million in fiscal Q1 2024 to a high of $186.4 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Accounts Payables has declined in each of the last four quarters, with growth averaging 44.2% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q2 2025, with growth of 142.7%; the weakest was fiscal Q1 2022, with a decline of 30.0%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $136.1 million (Q3 2026), $143.1 million (Q2 2026) and $129 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 11.06 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 3.14 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 162.50 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | 5.31 Bn |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 35.34 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 170.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.50 Mn |
| Mar 31, 2026 | 136.10 Mn |
| Dec 31, 2025 | 143.10 Mn |
| Sep 30, 2025 | 129.00 Mn |
| Jun 30, 2025 | 169.10 Mn |
| Mar 31, 2025 | 146.30 Mn |
| Dec 31, 2024 | 186.40 Mn |
| Sep 30, 2024 | 145.20 Mn |
| Jun 30, 2024 | 100.60 Mn |
| Mar 31, 2024 | 84.60 Mn |
| Dec 31, 2023 | 76.80 Mn |
| Sep 30, 2023 | 67.40 Mn |
| Jun 30, 2023 | 96.80 Mn |
| Mar 31, 2023 | 74.80 Mn |
| Dec 31, 2022 | 85.30 Mn |
| Sep 30, 2022 | 82.70 Mn |
| Jun 30, 2022 | 110.20 Mn |
| Mar 31, 2022 | 81.70 Mn |
| Dec 31, 2021 | 103.50 Mn |
| Sep 30, 2021 | 77.80 Mn |
API Access
Automatic Data Processing Accounts Payables 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=accounts-payables&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();