Automatic Data Processing (ADP) EBITDA Margin (2009 - 2026)
Automatic Data Processing's EBITDA Margin came in at -25.13% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.07 percentage points from -25.06% a year earlier and down 9.68 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) EBITDA Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's EBITDA Margin was -21.21%, up 0.26 percentage points from FY2025.
- EBITDA Margin has increased in each of the last six fiscal years, with a five-year change of +4.98 percentage points (FY2021 to FY2026).
- Going back by fiscal year, EBITDA Margin was -21.47% in FY2025 (+0.73 pp), -22.19% in FY2024 (+0.89 pp), -23.08% in FY2023 (+2.80 pp) and -25.88% in FY2022 (+0.30 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly EBITDA Margin since fiscal Q4 2024.
- Year-over-year, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +0.50 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in fiscal Q4 2023 (a gain of 3.46 percentage points), and the weakest in fiscal Q2 2022 (a drop of 1.20 percentage points).
- Business Quant data shows ADP's EBITDA Margin at -15.45% (Q3 2026), -21.78% (Q2 2026) and -23.06% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 52.36% |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -6,793.01% |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 19.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -25.13% |
| Mar 31, 2026 | -15.45% |
| Dec 31, 2025 | -21.78% |
| Sep 30, 2025 | -23.06% |
| Jun 30, 2025 | -25.06% |
| Mar 31, 2025 | -16.44% |
| Dec 31, 2024 | -22.52% |
| Sep 30, 2024 | -22.33% |
| Jun 30, 2024 | -25.67% |
| Mar 31, 2024 | -16.62% |
| Dec 31, 2023 | -23.10% |
| Sep 30, 2023 | -24.08% |
| Jun 30, 2023 | -25.94% |
| Mar 31, 2023 | -18.46% |
| Dec 31, 2022 | -23.71% |
| Sep 30, 2022 | -24.78% |
| Jun 30, 2022 | -29.40% |
| Mar 31, 2022 | -21.69% |
| Dec 31, 2021 | -27.17% |
| Sep 30, 2021 | -25.68% |
API Access
Automatic Data Processing EBITDA 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=ebitda-margin&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();