Arcosa (ACA) Accumulated Expenses (2017 - 2026)
Arcosa (ACA) recorded Accumulated Expenses of $191.7 million in Q2 2026, up 18.8% from $161.4 million a year earlier and up 35.3% from the prior quarter.
Arcosa (ACA) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Arcosa reported Accumulated Expenses of $169.7 million, up 2.0% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $166.4 million in FY2024 (+41.7%), $117.4 million in FY2023 (-3.6%), $121.8 million in FY2022 (-16.5%) and $145.9 million in FY2021 (+26.6%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2017.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 19.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 41.7% in Q4 2024, against a decline of 17.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $141.7 million (Q1 2026), $169.7 million (Q4 2025) and $179.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 321.38 Bn | 293.08 Bn | 7.76 Bn |
| 2 | Amphenol | 179.17 Bn | 173.75 Bn | 3.55 Bn |
| 3 | Deere | 169.52 Bn | 137.62 Bn | 4.66 Bn |
| 4 | Eaton | 142.16 Bn | 139.35 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.89 Bn | 111.02 Bn | 2.25 Bn |
| 6 | 3M | 90.34 Bn | 71.78 Bn | 2.78 Bn |
| 7 | Emerson Electric | 87.81 Bn | 80.54 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.50 Bn | 76.06 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 74.83 Bn | 65.45 Bn | 1.23 Bn |
| 10 | Arcosa | 7.32 Bn | 6.30 Bn | 155.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.70 Mn |
| Mar 31, 2026 | 141.70 Mn |
| Dec 31, 2025 | 169.70 Mn |
| Sep 30, 2025 | 179.80 Mn |
| Jun 30, 2025 | 161.40 Mn |
| Mar 31, 2025 | 144.10 Mn |
| Dec 31, 2024 | 166.40 Mn |
| Sep 30, 2024 | 156.00 Mn |
| Jun 30, 2024 | 126.90 Mn |
| Mar 31, 2024 | 113.20 Mn |
| Dec 31, 2023 | 117.40 Mn |
| Sep 30, 2023 | 121.70 Mn |
| Jun 30, 2023 | 126.00 Mn |
| Mar 31, 2023 | 115.70 Mn |
| Dec 31, 2022 | 121.80 Mn |
| Sep 30, 2022 | 135.20 Mn |
| Jun 30, 2022 | 123.90 Mn |
| Mar 31, 2022 | 140.40 Mn |
| Dec 31, 2021 | 145.90 Mn |
| Sep 30, 2021 | 145.60 Mn |
Arcosa Accumulated 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=accumulated-expenses&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();