Arcosa (ACA) EBIT (2017 - 2026)
Arcosa's EBIT was $84.3 million in Q2 2026, up 2.8% from $82 million a year earlier and up 79.0% from the prior quarter.
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Analysis
Arcosa (ACA) EBIT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arcosa's EBIT was $322.7 million through Jun 30, 2026, up 61.4% year-over-year; for FY2025, it came in at $341.9 million, up 73.0% from FY2024.
- EBIT shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, EBIT was $197.6 million in FY2024 (-9.1%), $217.3 million in FY2023 (-37.7%), $349 million in FY2022 (+225.3%) and $107.3 million in FY2021 (-29.3%).
- Quarterly EBIT has moved between $15.6 million (Q4 2021) and $208.1 million (Q4 2022) over five years.
- Compared with a year earlier, EBIT has increased for five straight quarters, with growth averaging 37.8% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q3 2025 (growth of 232.2%); the worst was Q4 2023 (a decline of 79.4%).
- Per Business Quant data, ACA's EBIT in the three quarters before Q2 2026 was $47.1 million (Q1 2026), $79 million (Q4 2025) and $112.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 335.85 Bn | 307.55 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 197.02 Bn | 191.60 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 172.04 Bn | 140.13 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 149.56 Bn | 146.75 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.29 Bn | 118.41 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Emerson Electric | 89.01 Bn | 81.75 Bn | 2.66 Bn | 1.31 Bn |
| 7 | 3M | 88.54 Bn | 69.94 Bn | 2.68 Bn | 984.00 Mn |
| 8 | Vertiv Holdings | 79.27 Bn | 69.89 Bn | 1.23 Bn | 637.90 Mn |
| 9 | Illinois Tool Works | 78.05 Bn | 74.60 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 84.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.30 Mn |
| Mar 31, 2026 | 47.10 Mn |
| Dec 31, 2025 | 79.00 Mn |
| Sep 30, 2025 | 112.30 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 41.00 Mn |
| Dec 31, 2024 | 43.20 Mn |
| Sep 30, 2024 | 33.80 Mn |
| Jun 30, 2024 | 67.20 Mn |
| Mar 31, 2024 | 53.40 Mn |
| Dec 31, 2023 | 42.80 Mn |
| Sep 30, 2023 | 48.40 Mn |
| Jun 30, 2023 | 51.00 Mn |
| Mar 31, 2023 | 75.10 Mn |
| Dec 31, 2022 | 208.10 Mn |
| Sep 30, 2022 | 49.00 Mn |
| Jun 30, 2022 | 57.20 Mn |
| Mar 31, 2022 | 34.70 Mn |
| Dec 31, 2021 | 15.60 Mn |
| Sep 30, 2021 | 37.50 Mn |
API Access
Arcosa EBIT 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=ebit&ticker=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();