Automatic Data Processing (ADP) Net Margin (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Net Margin came in at 17.88% in Q2 2026, up 11.0% year-over-year from 16.11% in Q2 2025, and down 21.91% quarter-over-quarter from 22.9% in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Net Margin (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Net Margin for 18 consecutive years, with 17.88% the latest figure, recorded in Q2 2026.
- On a quarterly basis, Net Margin rose 11.0% year-over-year to 17.88% in Q2 2026; TTM through Jun 2026 was 20.11%, a 27.0% increase from a year earlier, with the FY2026 full-year figure at 20.11%, up 27.0% from the prior year.
- Net Margin was 17.88% for Q2 2026 at Automatic Data Processing, down from 22.9% in the prior quarter.
- Over five years, Net Margin peaked at 22.9% in Q1 2026 and troughed at 15.15% in Q2 2022.
- A 5-year average of 19.35% and a median of 19.06% in 2023 frame the typical range for Net Margin.
- Across the five-year window, Net Margin soared 219 bps in 2023 and retreated 21 bps in 2025, its largest moves.
- Over 5 years, Net Margin stood at 18.52% in 2022, then advanced by 2 bps to 18.82% in 2023, then grew by 1 bps to 19.08% in 2024, then advanced by 4 bps to 19.82% in 2025, then declined by 10 bps to 17.88% in 2026.
- The last three Net Margin figures came in at 17.88% (Q2 2026), 22.9% (Q1 2026), and 19.82% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 55.08% |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 24.19% |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 22.07% |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 8.34% |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -7,044.56% |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 23.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.88% |
| Mar 31, 2026 | 22.90% |
| Dec 31, 2025 | 19.82% |
| Sep 30, 2025 | 19.57% |
| Jun 30, 2025 | 17.76% |
| Mar 31, 2025 | 22.50% |
| Dec 31, 2024 | 19.08% |
| Sep 30, 2024 | 19.79% |
| Jun 30, 2024 | 17.39% |
| Mar 31, 2024 | 22.55% |
| Dec 31, 2023 | 18.82% |
| Sep 30, 2023 | 19.05% |
| Jun 30, 2023 | 17.35% |
| Mar 31, 2023 | 21.17% |
| Dec 31, 2022 | 18.52% |
| Sep 30, 2022 | 18.48% |
| Jun 30, 2022 | 15.15% |
| Mar 31, 2022 | 20.57% |
| Dec 31, 2021 | 17.25% |
| Sep 30, 2021 | 18.28% |
API Access
Automatic Data Processing Net 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=net-margin&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();