Automatic Data Processing (ADP) Gross Margin (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Gross Margin came in at 45.88% in Q2 2026, up 82.0% year-over-year from 25.21% in Q2 2025, and down 4.97% quarter-over-quarter from 48.28% in Q1 2026.
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Automatic Data Processing (ADP) Gross Margin (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Gross Margin for 18 consecutive years, with 45.88% the latest figure, recorded in Q2 2026.
- On a quarterly basis, Gross Margin rose 82.0% year-over-year to 45.88% in Q2 2026; TTM through Jun 2026 was 46.42%, a 39.0% increase from a year earlier, with the FY2026 full-year figure at 46.42%, up 39.0% from the prior year.
- Gross Margin was 45.88% for Q2 2026 at Automatic Data Processing, down from 48.28% in the prior quarter.
- Over five years, Gross Margin peaked at 48.28% in Q1 2026 and troughed at 42.2% in Q2 2022.
- A 5-year average of 45.34% and a median of 45.16% in 2025 frame the typical range for Gross Margin.
- Across the five-year window, Gross Margin surged 242 bps in 2023 and retreated 30 bps in 2025, its largest moves.
- Over 5 years, Gross Margin stood at 44.19% in 2022, then rose by 2 bps to 45.12% in 2023, then climbed by 1 bps to 45.68% in 2024, then gained by 1 bps to 46.08% in 2025, then declined by 0 bps to 45.88% in 2026.
- The last three Gross Margin figures came in at 45.88% (Q2 2026), 48.28% (Q1 2026), and 46.08% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 79.47% |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 66.64% |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 83.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.88% |
| Mar 31, 2026 | 48.28% |
| Dec 31, 2025 | 46.08% |
| Sep 30, 2025 | 45.20% |
| Jun 30, 2025 | 45.06% |
| Mar 31, 2025 | 47.70% |
| Dec 31, 2024 | 45.68% |
| Sep 30, 2024 | 45.50% |
| Jun 30, 2024 | 44.81% |
| Mar 31, 2024 | 47.31% |
| Dec 31, 2023 | 45.12% |
| Sep 30, 2023 | 44.26% |
| Jun 30, 2023 | 44.50% |
| Mar 31, 2023 | 46.76% |
| Dec 31, 2022 | 44.19% |
| Sep 30, 2022 | 43.22% |
| Jun 30, 2022 | 42.20% |
| Mar 31, 2022 | 44.33% |
| Dec 31, 2021 | 41.84% |
| Sep 30, 2021 | 42.00% |
API Access
Automatic Data Processing Gross Margin 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=gross-margin&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();