Automatic Data Processing (ADP) EBIT Margin (2009 - 2026)
Automatic Data Processing's EBIT Margin was -33.33% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.29 percentage points from -33.62% a year earlier but down 10.34 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) EBIT Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBIT Margin at Automatic Data Processing came in at -29.35%, up 0.52 percentage points from FY2025.
- EBIT Margin has now increased for six consecutive fiscal years, with a five-year change of +6.48 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBIT Margin was -29.87% in FY2025 (+0.81 pp), -30.68% in FY2024 (+0.96 pp), -31.64% in FY2023 (+3.15 pp) and -34.80% in FY2022 (+1.03 pp).
- Quarterly EBIT Margin has moved between -36.21% (fiscal Q2 2022) and 20.05% (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBIT Margin has increased for three straight quarters, with an average year-over-year change of +0.68 percentage points over the last eight quarters.
- The best year-over-year quarter for EBIT Margin over five years was fiscal Q4 2022 (a gain of 61.05 percentage points); the worst was fiscal Q3 2022 (a drop of 55.72 percentage points).
- Per Business Quant data, ADP's EBIT Margin in the three fiscal quarters before Q4 2026 was -22.99% (Q3 2026), -30.08% (Q2 2026) and -31.66% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 34.78% |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 16,670.89% |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 21.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -30.06% |
| 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 | 20.05% |
| Mar 31, 2022 | -29.85% |
| Dec 31, 2021 | -36.21% |
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();