Automatic Data Processing (ADP) Payables (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Payables came in at $834.4 million in Q2 2026, down 85.07% year-over-year from $5.6 billion in Q2 2025, and up 2.64% quarter-over-quarter from $812.9 million in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Payables (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Payables for 18 consecutive years, with $834.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Payables fell 85.07% year-over-year to $834.4 million in Q2 2026; TTM through Jun 2026 was $834.4 million, a 85.07% decrease from a year earlier, with the FY2026 full-year figure at $834.4 million, down 85.07% from the prior year.
- Payables was $834.4 million for Q2 2026 at Automatic Data Processing, up from $812.9 million in the prior quarter.
- Over five years, Payables peaked at $6.0 billion in Q3 2025 and troughed at $511.5 million in Q3 2022.
- A 5-year average of $1.6 billion and a median of $660.2 million in 2024 frame the typical range for Payables.
- Across the five-year window, Payables soared 785.35% in 2024 and slumped 85.07% in 2026, its largest moves.
- Over 5 years, Payables stood at $599.9 million in 2022, then gained by 7.77% to $646.5 million in 2023, then surged by 179.74% to $1.8 billion in 2024, then tumbled by 54.46% to $823.6 million in 2025, then grew by 1.31% to $834.4 million in 2026.
- The last three Payables figures came in at $834.4 million (Q2 2026), $812.9 million (Q1 2026), and $823.6 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 18.69 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 873.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | 5.37 Bn |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 102.00 Mn |
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();