Automatic Data Processing (ADP) Cost of Revenue (2009 - 2026)
Automatic Data Processing (ADP) posted Cost of Revenue of $2.96 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.2% from $2.82 billion a year earlier but down 3.6% from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Cost of Revenue came in at $11.76 billion, up 6.0% from FY2025.
- Annual Cost of Revenue has increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Cost of Revenue was $11.1 billion in FY2025 (+5.9%), $10.48 billion in FY2024 (+5.3%), $9.95 billion in FY2023 (+5.2%) and $9.46 billion in FY2022 (+9.5%).
- Quarterly Cost of Revenue has run from a low of $2.22 billion in fiscal Q1 2022 to a high of $3.07 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 23 quarters, with growth averaging 6.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 4.2% (fiscal Q4 2023) to 10.3% (fiscal Q2 2022).
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $3.07 billion (Q3 2026), $2.89 billion (Q2 2026) and $2.84 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 383.29 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 2.65 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 2.97 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.21 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 35.79 Mn |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.97 Bn |
| Jun 30, 2026 | 2.96 Bn |
| Mar 31, 2026 | 3.07 Bn |
| Dec 31, 2025 | 2.89 Bn |
| Sep 30, 2025 | 2.84 Bn |
| Jun 30, 2025 | 2.82 Bn |
| Mar 31, 2025 | 2.90 Bn |
| Dec 31, 2024 | 2.74 Bn |
| Sep 30, 2024 | 2.63 Bn |
| Jun 30, 2024 | 2.63 Bn |
| Mar 31, 2024 | 2.77 Bn |
| Dec 31, 2023 | 2.56 Bn |
| Sep 30, 2023 | 2.52 Bn |
| Jun 30, 2023 | 2.49 Bn |
| Mar 31, 2023 | 2.62 Bn |
| Dec 31, 2022 | 2.45 Bn |
| Sep 30, 2022 | 2.39 Bn |
| Jun 30, 2022 | 2.39 Bn |
| Mar 31, 2022 | 2.51 Bn |
| Dec 31, 2021 | 2.34 Bn |
API Access
Automatic Data Processing Cost of Revenue 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=cost-of-revenue&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();