Automatic Data Processing (ADP) Return on Capital Employed [ROCE] (2009 - 2026)
Automatic Data Processing (ADP) recorded Return on Capital Employed [ROCE] of -46.62% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.57 percentage points from -45.06% a year earlier and down 18.50 percentage points from the prior quarter.
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Analysis
Automatic Data Processing (ADP) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Automatic Data Processing reported Return on Capital Employed [ROCE] of -78.01%, down 29.22 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of +13.50 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at -48.79% in FY2025 (+28.86 pp), -77.65% in FY2024 (-37.66 pp), -39.99% in FY2023 (+713.72 pp) and -753.71% in FY2022 (-662.20 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -239.50% in fiscal Q2 2025 to -21.87% in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last seven quarters, with an average year-over-year change of -6.42 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 170.58 percentage points in fiscal Q3 2023, against a drop of 215.55 percentage points in fiscal Q3 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 9.81% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -30.53% |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 41.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -53.96% |
| Jun 30, 2026 | -46.62% |
| Mar 31, 2026 | -28.13% |
| Sep 30, 2025 | -52.72% |
| Jun 30, 2025 | -45.06% |
| Mar 31, 2025 | -41.93% |
| Dec 31, 2024 | -239.50% |
| Sep 30, 2024 | -46.96% |
| Jun 30, 2024 | -41.51% |
| Mar 31, 2024 | -101.61% |
| Dec 31, 2023 | -114.26% |
| Sep 30, 2023 | -64.66% |
| Jun 30, 2023 | -45.02% |
| Mar 31, 2023 | -58.86% |
| Dec 31, 2022 | -93.62% |
| Sep 30, 2022 | -21.87% |
| Jun 30, 2022 | -26.82% |
| Mar 31, 2022 | -229.45% |
| Dec 31, 2021 | -31.35% |
| Sep 30, 2021 | -66.68% |
API Access
Automatic Data Processing Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();