Automatic Data Processing (ADP) Operating Margin (2009 - 2026)
Automatic Data Processing (ADP) posted Operating Margin of -33.33% for 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) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Operating Margin came in at -29.35%, up 0.52 percentage points from FY2025.
- Annual Operating Margin has increased for six consecutive fiscal years, with a five-year change of +6.48 percentage points (FY2021 to FY2026).
- In prior fiscal years, Automatic Data Processing's Operating 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 Operating Margin has run from a low of -38.40% in fiscal Q4 2022 to a high of -22.99% in fiscal Q3 2026 over five years.
- On a year-over-year basis, Operating Margin has increased in each of the last three quarters, with an average year-over-year change of +0.68 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q2 2023, with a gain of 3.80 percentage points; the weakest was fiscal Q1 2026, with a drop of 0.64 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 34.78% |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -6,808.11% |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | 28.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | -38.40% |
| Mar 31, 2022 | -29.85% |
| Dec 31, 2021 | -36.21% |
| Sep 30, 2021 | -35.24% |
API Access
Automatic Data Processing Operating 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=operating-margin&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();