Automatic Data Processing (ADP) Return on Equity [ROE] (2009 - 2026)
Automatic Data Processing's Return on Equity [ROE] came in at 81.37% for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 15.51 percentage points from 65.86% a year earlier and up 10.08 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Return on Equity [ROE] was 72.24%, down 3.76 percentage points from FY2025.
- Return on Equity [ROE] has declined in each of the last three fiscal years, though with a five-year change of +26.74 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 76.00% in FY2025 (-17.14 pp), 93.14% in FY2024 (-8.19 pp), 101.33% in FY2023 (+35.03 pp) and 66.30% in FY2022 (+20.80 pp).
- The fiscal Q1 2027 figure represents the highest quarterly Return on Equity [ROE] since fiscal Q4 2024.
- Year-over-year, Return on Equity [ROE] increased in two of the last eight quarters, with an average year-over-year change of -5.80 percentage points.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q2 2023 (a gain of 60.34 percentage points), and the weakest in fiscal Q1 2025 (a drop of 22.25 percentage points).
- Business Quant data shows ADP's Return on Equity [ROE] at 71.29% (Q4 2026), 68.20% (Q3 2026) and 66.35% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 34.75% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 34.32% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 18.52% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 26.65% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 81.37% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 11.28% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 23.05% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -31.66% |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.37% |
| Jun 30, 2026 | 71.29% |
| Mar 31, 2026 | 68.20% |
| Dec 31, 2025 | 66.35% |
| Sep 30, 2025 | 65.86% |
| Jun 30, 2025 | 67.75% |
| Mar 31, 2025 | 73.14% |
| Dec 31, 2024 | 75.45% |
| Sep 30, 2024 | 77.79% |
| Jun 30, 2024 | 81.79% |
| Mar 31, 2024 | 82.70% |
| Dec 31, 2023 | 91.31% |
| Sep 30, 2023 | 100.04% |
| Jun 30, 2023 | 94.74% |
| Mar 31, 2023 | 97.62% |
| Dec 31, 2022 | 113.10% |
| Sep 30, 2022 | 104.36% |
| Jun 30, 2022 | 79.50% |
| Mar 31, 2022 | 61.92% |
| Dec 31, 2021 | 52.76% |
API Access
Automatic Data Processing Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();