Arcosa (ACA) Return on Sales [ROS] (2017 - 2026)
Arcosa (ACA) recorded Return on Sales [ROS] of 12.80% in Q2 2026, up 0.13 percentage points from 12.66% a year earlier and up 4.56 percentage points from the prior quarter.
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Analysis
Arcosa (ACA) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a TTM basis, Arcosa's Return on Sales [ROS] came in at 11.76% as of Jun 30, 2026, up 3.76 percentage points year-over-year; for FY2025, it was 11.86%, up 4.17 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +4.01 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.69% in FY2024 (-1.73 pp), 9.42% in FY2023 (-6.15 pp), 15.56% in FY2022 (+10.29 pp) and 5.27% in FY2021 (-2.57 pp).
- Quarterly Return on Sales [ROS] has ranged from 2.99% in Q4 2021 to 41.60% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +1.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 38.61 percentage points in Q4 2022, against a drop of 34.24 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.24% (Q1 2026), 11.02% (Q4 2025) and 14.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 314.93 Bn | 286.62 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 179.86 Bn | 174.44 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 171.32 Bn | 139.41 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 141.15 Bn | 138.34 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 110.85 Bn | 108.97 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 89.06 Bn | 81.80 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 88.96 Bn | 70.40 Bn | 2.78 Bn | 23.66% |
| 8 | Illinois Tool Works | 78.47 Bn | 75.03 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 73.96 Bn | 64.58 Bn | 1.23 Bn | 19.48% |
| 10 | Arcosa | 7.33 Bn | 6.31 Bn | 155.70 Mn | 12.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.80% |
| Mar 31, 2026 | 8.24% |
| Dec 31, 2025 | 11.02% |
| Sep 30, 2025 | 14.08% |
| Jun 30, 2025 | 12.66% |
| Mar 31, 2025 | 7.49% |
| Dec 31, 2024 | 6.48% |
| Sep 30, 2024 | 5.28% |
| Jun 30, 2024 | 10.11% |
| Mar 31, 2024 | 8.92% |
| Dec 31, 2023 | 7.35% |
| Sep 30, 2023 | 8.18% |
| Jun 30, 2023 | 8.72% |
| Mar 31, 2023 | 13.67% |
| Dec 31, 2022 | 41.60% |
| Sep 30, 2022 | 8.11% |
| Jun 30, 2022 | 9.49% |
| Mar 31, 2022 | 6.48% |
| Dec 31, 2021 | 2.99% |
| Sep 30, 2021 | 6.71% |
API Access
Arcosa 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=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();