Automatic Data Processing (ADP) EBIT Margin (2009 - 2026)
Automatic Data Processing's (ADP) quarterly EBIT Margin came in at 33.33% in Q2 2026, up 29.0% year-over-year from 25.84% in Q2 2025, and down 45.0% quarter-over-quarter from 22.99% in Q1 2026.
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Analysis
Automatic Data Processing (ADP) EBIT Margin (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported EBIT Margin for 18 consecutive years, with 33.33% the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBIT Margin rose 29.0% year-over-year to 33.33% in Q2 2026; TTM through Jun 2026 was 29.35%, a 52.0% increase from a year earlier, with the FY2026 full-year figure at 29.35%, up 52.0% from the prior year.
- EBIT Margin was 33.33% for Q2 2026 at Automatic Data Processing, down from 22.99% in the prior quarter.
- Over five years, EBIT Margin peaked at 22.99% in Q1 2026 and troughed at 38.4% in Q2 2022.
- A 5-year average of 30.95% and a median of 31.71% in 2023 frame the typical range for EBIT Margin.
- Across the five-year window, EBIT Margin jumped 380 bps in 2022 and plunged 64 bps in 2025, its largest moves.
- Over 5 years, EBIT Margin stood at 32.41% in 2022, then gained by 2 bps to 31.76% in 2023, then increased by 2 bps to 31.14% in 2024, then advanced by 3 bps to 30.08% in 2025, then decreased by 11 bps to 33.33% in 2026.
- The last three EBIT Margin figures came in at 33.33% (Q2 2026), 22.99% (Q1 2026), and 30.08% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 34.78% |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 10.91% |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -6,808.11% |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 11.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.33% |
| Mar 31, 2026 | -22.99% |
| Dec 31, 2025 | -30.08% |
| Sep 30, 2025 | -31.66% |
| Jun 30, 2025 | -33.62% |
| Mar 31, 2025 | -24.24% |
| Dec 31, 2024 | -31.14% |
| Sep 30, 2024 | -31.02% |
| Jun 30, 2024 | -34.23% |
| Mar 31, 2024 | -24.48% |
| Dec 31, 2023 | -31.76% |
| Sep 30, 2023 | -33.03% |
| Jun 30, 2023 | -34.77% |
| Mar 31, 2023 | -26.30% |
| Dec 31, 2022 | -32.41% |
| Sep 30, 2022 | -33.76% |
| Jun 30, 2022 | -38.40% |
| Mar 31, 2022 | -29.85% |
| Dec 31, 2021 | -36.21% |
| Sep 30, 2021 | -35.24% |
API Access
Automatic Data Processing EBIT 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=ebit-margin&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();