Arcosa (ACA) Capital Expenditures (2017 - 2026)
Arcosa (ACA) posted Capital Expenditures of $58.8 million for Q2 2026, up 117.8% from $27 million a year earlier and up 35.2% from the prior quarter.
Arcosa (ACA) Capital Expenditures (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Arcosa was $207.9 million, up 40.8% year-over-year; for FY2025, it was $165.6 million, down 12.7% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In prior years, Arcosa's Capital Expenditures was $189.7 million in FY2024 (-6.8%), $203.5 million in FY2023 (+47.5%), $138 million in FY2022 (+62.2%) and $85.1 million in FY2021 (+3.7%).
- Quarterly Capital Expenditures has run from a low of $19.3 million in Q3 2021 to a high of $64.2 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last four quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2026, with growth of 117.8%; the weakest was Q2 2025, with a decline of 43.3%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $43.5 million (Q1 2026), $64.2 million (Q4 2025) and $41.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.35 Bn | 306.05 Bn | 7.76 Bn | 1.11 Bn |
| 2 | Amphenol | 194.72 Bn | 189.30 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 171.73 Bn | 139.83 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 148.81 Bn | 145.99 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 118.86 Bn | 116.98 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Emerson Electric | 89.19 Bn | 81.93 Bn | 2.66 Bn | 102.00 Mn |
| 7 | 3M | 89.18 Bn | 70.58 Bn | 2.68 Bn | 223.00 Mn |
| 8 | Vertiv Holdings | 78.81 Bn | 69.43 Bn | 1.23 Bn | 173.30 Mn |
| 9 | Illinois Tool Works | 78.20 Bn | 74.76 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Arcosa | 7.24 Bn | 6.22 Bn | 155.70 Mn | 58.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.80 Mn |
| Mar 31, 2026 | 43.50 Mn |
| Dec 31, 2025 | 64.20 Mn |
| Sep 30, 2025 | 41.40 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Mar 31, 2025 | 33.00 Mn |
| Dec 31, 2024 | 53.30 Mn |
| Sep 30, 2024 | 34.40 Mn |
| Jun 30, 2024 | 47.60 Mn |
| Mar 31, 2024 | 54.40 Mn |
| Dec 31, 2023 | 58.70 Mn |
| Sep 30, 2023 | 47.90 Mn |
| Jun 30, 2023 | 52.50 Mn |
| Mar 31, 2023 | 44.40 Mn |
| Dec 31, 2022 | 52.10 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 27.00 Mn |
| Mar 31, 2022 | 25.90 Mn |
| Dec 31, 2021 | 24.30 Mn |
| Sep 30, 2021 | 19.30 Mn |
Arcosa Capital Expenditures 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=capital-expenditures&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();