Arcosa (ACA) Operating Expenses (2017 - 2026)
Arcosa's Operating Expenses came in at $89.1 million for Q2 2026, up 27.3% from $70 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Arcosa (ACA) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arcosa reported Operating Expenses of $325.3 million; for FY2025, it was $305.3 million, down 3.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -29.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $317.6 million in FY2024 (+40.2%), $226.5 million in FY2023 (-88.0%), $1.89 billion in FY2022 (-1.8%) and $1.93 billion in FY2021 (+8.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in three of the last six quarters, with an average decline of 36.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 27.3%), and the weakest in Q2 2025 (a decline of 88.3%).
- Business Quant data shows ACA's Operating Expenses at $75.8 million (Q1 2026), $78.2 million (Q4 2025) and $82.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 490.50 Mn |
| 10 | Arcosa | 7.24 Bn | 6.22 Bn | 155.70 Mn | 89.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.10 Mn |
| Mar 31, 2026 | 75.80 Mn |
| Dec 31, 2025 | 78.20 Mn |
| Sep 30, 2025 | 82.20 Mn |
| Jun 30, 2025 | 70.00 Mn |
| Mar 31, 2025 | 576.20 Mn |
| Dec 31, 2024 | -1.43 Bn |
| Sep 30, 2024 | 606.60 Mn |
| Jun 30, 2024 | 597.50 Mn |
| Mar 31, 2024 | 545.20 Mn |
| Dec 31, 2023 | -1.32 Bn |
| Sep 30, 2023 | 543.30 Mn |
| Jun 30, 2023 | 533.80 Mn |
| Mar 31, 2023 | 474.10 Mn |
| Dec 31, 2022 | 292.20 Mn |
| Sep 30, 2022 | 554.90 Mn |
| Jun 30, 2022 | 545.60 Mn |
| Mar 31, 2022 | 501.10 Mn |
| Dec 31, 2021 | 506.20 Mn |
| Sep 30, 2021 | 521.60 Mn |
API Access
Arcosa Operating Expenses 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=operating-expenses&ticker=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();