Automatic Data Processing (ADP) Gross Margin (2009 - 2026)
Automatic Data Processing's Gross Margin came in at 45.88% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.82 percentage points from 45.06% a year earlier but down 2.40 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Gross Margin was 46.42%, up 0.39 percentage points from FY2025.
- Gross Margin has increased in each of the last six fiscal years, with a five-year change of +4.00 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Gross Margin was 46.03% in FY2025 (+0.59 pp), 45.44% in FY2024 (+0.70 pp), 44.74% in FY2023 (+2.09 pp) and 42.65% in FY2022 (+0.23 pp).
- The five-year range for quarterly Gross Margin is 41.84% (fiscal Q2 2022) to 48.28% (fiscal Q3 2026).
- Year-over-year, Gross Margin has increased for three consecutive quarters, with an average year-over-year change of +0.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in fiscal Q3 2023 (a gain of 2.42 percentage points), and the weakest in fiscal Q2 2022 (a drop of 0.73 percentage points).
- Business Quant data shows ADP's Gross Margin at 48.28% (Q3 2026), 46.08% (Q2 2026) and 45.20% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 66.64% |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
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();