Automatic Data Processing (ADP) Return on Assets [ROA] (2009 - 2026)
Automatic Data Processing's Return on Assets [ROA] came in at 6.91% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.52 percentage points from 7.43% a year earlier but up 1.09 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Return on Assets [ROA] was 7.57%, unchanged from FY2025.
- Return on Assets [ROA] carries a five-year change of +1.66 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was 7.57% in FY2025 (+0.45 pp), 7.12% in FY2024 (+1.14 pp), 5.98% in FY2023 (+0.71 pp) and 5.27% in FY2022 (-0.64 pp).
- The five-year range for quarterly Return on Assets [ROA] is 4.36% (fiscal Q3 2022) to 7.68% (fiscal Q1 2026).
- Year-over-year, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of +0.05 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2023 (a gain of 1.79 percentage points), and the weakest in fiscal Q1 2022 (a drop of 1.14 percentage points).
- Business Quant data shows ADP's Return on Assets [ROA] at 5.83% (Q3 2026), 6.10% (Q2 2026) and 7.68% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.70% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -56.94% |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 7.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.91% |
| Mar 31, 2026 | 5.83% |
| Dec 31, 2025 | 6.10% |
| Sep 30, 2025 | 7.68% |
| Jun 30, 2025 | 7.43% |
| Mar 31, 2025 | 6.63% |
| Dec 31, 2024 | 6.93% |
| Sep 30, 2024 | 7.41% |
| Jun 30, 2024 | 6.33% |
| Mar 31, 2024 | 6.10% |
| Dec 31, 2023 | 6.69% |
| Sep 30, 2023 | 6.96% |
| Jun 30, 2023 | 6.16% |
| Mar 31, 2023 | 5.70% |
| Dec 31, 2022 | 6.24% |
| Sep 30, 2022 | 5.53% |
| Jun 30, 2022 | 4.36% |
| Mar 31, 2022 | 4.36% |
| Dec 31, 2021 | 4.61% |
| Sep 30, 2021 | 4.96% |
API Access
Automatic Data Processing Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();