Arcosa (ACA) Return on Capital Employed [ROCE] (2018 - 2026)
Arcosa (ACA) posted Return on Capital Employed [ROCE] of 6.87% for Q2 2026, up 2.37 percentage points from 4.50% a year earlier but down 0.25 percentage points from the prior quarter.
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Analysis
Arcosa (ACA) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Arcosa's Return on Capital Employed [ROCE] came in at 7.69%, up 2.39 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +0.68 percentage points (FY2020 to FY2025).
- In prior years, Arcosa's Return on Capital Employed [ROCE] was 5.30% in FY2024 (-1.88 pp), 7.18% in FY2023 (-4.87 pp), 12.05% in FY2022 (+7.85 pp) and 4.20% in FY2021 (-2.81 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 3.72% in Q4 2021 to a high of 12.99% in Q1 2023 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of -0.59 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2023, with a gain of 8.76 percentage points; the weakest was Q3 2024, with a drop of 6.99 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 7.11% (Q1 2026), 6.96% (Q4 2025) and 6.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 18.77% |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 14.90% |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 41.86% |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 29.36% |
| 10 | Arcosa | 7.33 Bn | 6.31 Bn | 155.70 Mn | 6.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.87% |
| Mar 31, 2026 | 7.11% |
| Dec 31, 2025 | 6.96% |
| Sep 30, 2025 | 6.25% |
| Jun 30, 2025 | 4.50% |
| Mar 31, 2025 | 4.20% |
| Dec 31, 2024 | 4.80% |
| Sep 30, 2024 | 5.40% |
| Jun 30, 2024 | 6.40% |
| Mar 31, 2024 | 6.14% |
| Dec 31, 2023 | 7.00% |
| Sep 30, 2023 | 12.39% |
| Jun 30, 2023 | 12.62% |
| Mar 31, 2023 | 12.99% |
| Dec 31, 2022 | 11.66% |
| Sep 30, 2022 | 5.33% |
| Jun 30, 2022 | 5.03% |
| Mar 31, 2022 | 4.23% |
| Dec 31, 2021 | 3.72% |
| Sep 30, 2021 | 3.87% |
API Access
Arcosa 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=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ACA", "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=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();