Automatic Data Processing (ADP) Net Margin (2009 - 2026)
Automatic Data Processing (ADP) reported Net Margin of 17.88% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.11 percentage points from 17.76% a year earlier but down 5.02 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Net Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing posted Net Margin of 20.11%, up 0.27 percentage points from FY2025.
- Net Margin has increased for eight consecutive fiscal years, with a five-year change of +2.79 percentage points (FY2021 to FY2026).
- By fiscal year, Net Margin came in at 19.84% in FY2025 (+0.30 pp), 19.54% in FY2024 (+0.60 pp), 18.94% in FY2023 (+1.07 pp) and 17.87% in FY2022 (+0.56 pp).
- Five-year quarterly Net Margin spans a low of 15.15% in fiscal Q4 2022 and a high of 22.90% in fiscal Q3 2026.
- Year over year, Net Margin has now increased in each of the last three quarters, with an average year-over-year change of +0.29 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was fiscal Q4 2023 (a gain of 2.19 percentage points); the low point was fiscal Q2 2022 (a drop of 0.27 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 22.90% (Q3 2026), 19.82% (Q2 2026) and 19.57% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 24.19% |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 22.07% |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -7,044.56% |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 22.88% |
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();