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 -28.13% in fiscal Q3 2026 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 127.74 percentage points in fiscal Q3 2023, against a drop of 155.22 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 | 450.50 Bn | 419.56 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 9.81% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -68.70% |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 9.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | -101.70% |
| Dec 31, 2022 | -160.73% |
| Sep 30, 2022 | -37.38% |
| Jun 30, 2022 | -46.26% |
| Mar 31, 2022 | -229.45% |
| Dec 31, 2021 | -53.26% |
| Sep 30, 2021 | -115.33% |
| Jun 30, 2021 | -39.83% |
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();