Automatic Data Processing (ADP) Payables (2009 - 2026)
Automatic Data Processing (ADP) recorded Payables of $834.4 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 85.1% from $5.59 billion a year earlier but up 2.6% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Payables (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Automatic Data Processing's Payables history includes 69 quarters.
- Annual Payables has a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $5.59 billion in FY2025 (+738.0%), $667 million in FY2024 (+9.9%), $606.8 million in FY2023 (+12.4%) and $539.8 million in FY2022 (+1.5%).
- Quarterly Payables has ranged from $467.3 million in fiscal Q1 2022 to $5.96 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Payables has declined for three consecutive quarters, with growth averaging 212.1% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 785.3% in fiscal Q1 2025, against a decline of 85.1% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $812.9 million (Q3 2026), $823.6 million (Q2 2026) and $5.96 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | - | 18.69 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 | 2.24 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 834.40 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 | 190.50 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 1.79 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 834.40 Mn |
| Mar 31, 2026 | 812.90 Mn |
| Dec 31, 2025 | 823.60 Mn |
| Sep 30, 2025 | 5.96 Bn |
| Jun 30, 2025 | 5.59 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.81 Bn |
| Sep 30, 2024 | 5.11 Bn |
| Jun 30, 2024 | 667.00 Mn |
| Mar 31, 2024 | 653.50 Mn |
| Dec 31, 2023 | 646.50 Mn |
| Sep 30, 2023 | 577.30 Mn |
| Jun 30, 2023 | 606.80 Mn |
| Mar 31, 2023 | 586.40 Mn |
| Dec 31, 2022 | 599.90 Mn |
| Sep 30, 2022 | 511.50 Mn |
| Jun 30, 2022 | 539.80 Mn |
| Mar 31, 2022 | 513.40 Mn |
| Dec 31, 2021 | 537.10 Mn |
| Sep 30, 2021 | 467.30 Mn |
API Access
Automatic Data Processing 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=payables&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();