Arcosa (ACA) Property, Plant & Equipment (Net) (2017 - 2026)
Arcosa's Property, Plant & Equipment (Net) was $2.1 billion in Q2 2026, down 0.1% from $2.1 billion a year earlier and down 0.2% from the prior quarter.
Arcosa (ACA) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Arcosa came in at $2.05 billion, down 3.9% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $2.13 billion in FY2024 (+59.4%), $1.34 billion in FY2023 (+11.4%), $1.2 billion in FY2022 (-0.2%) and $1.2 billion in FY2021 (+31.6%).
- Quarterly Property, Plant & Equipment (Net) has moved between $1.17 billion (Q3 2022) and $2.13 billion (Q4 2024) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for three straight quarters, with growth averaging 27.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2024 (growth of 59.4%); the worst was Q3 2022 (a decline of 8.0%).
- Per Business Quant data, ACA's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $2.1 billion (Q1 2026), $2.05 billion (Q4 2025) and $2.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 15.63 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 | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 2.86 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 6.88 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 1.18 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 2.10 Bn |
| Dec 31, 2025 | 2.05 Bn |
| Sep 30, 2025 | 2.09 Bn |
| Jun 30, 2025 | 2.10 Bn |
| Mar 31, 2025 | 2.12 Bn |
| Dec 31, 2024 | 2.13 Bn |
| Sep 30, 2024 | 1.38 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.36 Bn |
| Dec 31, 2023 | 1.34 Bn |
| Sep 30, 2023 | 1.25 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 1.20 Bn |
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 1.27 Bn |
Arcosa Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();