Automatic Data Processing (ADP) Return on Sales [ROS] (2009 - 2026)
Automatic Data Processing (ADP) posted Return on Sales [ROS] 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing's Return on Sales [ROS] came in at -29.35%, up 0.52 percentage points from FY2025.
- Annual Return on Sales [ROS] 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 Return on Sales [ROS] 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 Return on Sales [ROS] has run from a low of -36.21% in fiscal Q2 2022 to a high of 20.05% in fiscal Q4 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] 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 Return on Sales [ROS] in the past five years was fiscal Q4 2022, with a gain of 61.05 percentage points; the weakest was fiscal Q3 2022, with a drop of 55.72 percentage points.
- According to Business Quant data, Return on Sales [ROS] 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 34.78% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 16,670.89% |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 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 Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();