Arcosa (ACA) EBITDA (2017 - 2026)
Arcosa (ACA) reported EBITDA of $142.3 million for Q2 2026, up 4.5% from $136.2 million a year earlier and up 41.5% from the prior quarter.
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Analysis
Arcosa (ACA) EBITDA (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arcosa's EBITDA came in at $547.5 million, up 33.0% year-over-year; for FY2025, it was $564.9 million, up 43.9% from FY2024.
- EBITDA has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By year, EBITDA came in at $392.6 million in FY2024 (+4.2%), $376.8 million in FY2023 (-25.1%), $503.1 million in FY2022 (+100.0%) and $251.6 million in FY2021 (-5.5%).
- Five-year quarterly EBITDA spans a low of $52.9 million in Q4 2021 and a high of $245.3 million in Q4 2022.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 23.3% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 363.7%); the low point was Q4 2023 (a decline of 66.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $100.6 million (Q1 2026), $136.1 million (Q4 2025) and $168.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 142.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.30 Mn |
| Mar 31, 2026 | 100.60 Mn |
| Dec 31, 2025 | 136.10 Mn |
| Sep 30, 2025 | 168.50 Mn |
| Jun 30, 2025 | 136.20 Mn |
| Mar 31, 2025 | 92.70 Mn |
| Dec 31, 2024 | 103.60 Mn |
| Sep 30, 2024 | 79.00 Mn |
| Jun 30, 2024 | 113.80 Mn |
| Mar 31, 2024 | 96.20 Mn |
| Dec 31, 2023 | 83.50 Mn |
| Sep 30, 2023 | 88.90 Mn |
| Jun 30, 2023 | 90.50 Mn |
| Mar 31, 2023 | 113.90 Mn |
| Dec 31, 2022 | 245.30 Mn |
| Sep 30, 2022 | 88.60 Mn |
| Jun 30, 2022 | 96.70 Mn |
| Mar 31, 2022 | 72.50 Mn |
| Dec 31, 2021 | 52.90 Mn |
| Sep 30, 2021 | 76.50 Mn |
API Access
Arcosa EBITDA 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=ebitda&ticker=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();