Automatic Data Processing (ADP) Receivables (2009 - 2026)
Automatic Data Processing (ADP) reported Receivables of $3.52 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.6% from $3.58 billion a year earlier and down 1.3% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Receivables (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Automatic Data Processing's Receivables record includes 69 quarters.
- Receivables has a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $3.58 billion in FY2025 (+4.4%), $3.43 billion in FY2024 (+13.9%), $3.01 billion in FY2023 (-5.1%) and $3.17 billion in FY2022 (+16.2%).
- Five-year quarterly Receivables spans a low of $2.74 billion in fiscal Q2 2022 and a high of $3.58 billion in fiscal Q4 2025.
- Year over year, Receivables gained in six of the last eight quarters, with growth averaging 2.3%.
- The high point for year-over-year Receivables in five years was fiscal Q3 2022 (growth of 17.5%); the low point was fiscal Q3 2023 (a decline of 5.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.57 billion (Q3 2026), $3.41 billion (Q2 2026) and $3.46 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 1.90 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 11.39 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | - |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 6.32 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 3.52 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 2.83 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | 3.10 Bn |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 147.13 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -11.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.52 Bn |
| Jun 30, 2026 | 3.52 Bn |
| Mar 31, 2026 | 3.57 Bn |
| Dec 31, 2025 | 3.41 Bn |
| Sep 30, 2025 | 3.46 Bn |
| Jun 30, 2025 | 3.58 Bn |
| Mar 31, 2025 | 3.55 Bn |
| Dec 31, 2024 | 3.50 Bn |
| Sep 30, 2024 | 3.32 Bn |
| Jun 30, 2024 | 3.43 Bn |
| Mar 31, 2024 | 3.46 Bn |
| Dec 31, 2023 | 3.37 Bn |
| Sep 30, 2023 | 3.10 Bn |
| Jun 30, 2023 | 3.01 Bn |
| Mar 31, 2023 | 3.07 Bn |
| Dec 31, 2022 | 3.16 Bn |
| Sep 30, 2022 | 2.94 Bn |
| Jun 30, 2022 | 3.17 Bn |
| Mar 31, 2022 | 3.25 Bn |
| Dec 31, 2021 | 2.74 Bn |
API Access
Automatic Data Processing Receivables 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=receivables&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();