Arcosa (ACA) Total Liabilities (2017 - 2026)
Arcosa (ACA) posted Total Liabilities of $2.32 billion for Q2 2026, down 7.4% from $2.5 billion a year earlier and down 1.3% from the prior quarter.
Analysis
Arcosa (ACA) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Arcosa's Total Liabilities came in at $2.34 billion, down 5.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- In prior years, Arcosa's Total Liabilities was $2.49 billion in FY2024 (+99.6%), $1.25 billion in FY2023 (+7.8%), $1.16 billion in FY2022 (-6.4%) and $1.23 billion in FY2021 (+63.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 43.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2024, with growth of 99.6%; the weakest was Q3 2023, with a decline of 13.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.35 billion (Q1 2026), $2.34 billion (Q4 2025) and $2.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 2.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.32 Bn |
| Mar 31, 2026 | 2.35 Bn |
| Dec 31, 2025 | 2.34 Bn |
| Sep 30, 2025 | 2.47 Bn |
| Jun 30, 2025 | 2.50 Bn |
| Mar 31, 2025 | 2.48 Bn |
| Dec 31, 2024 | 2.49 Bn |
| Sep 30, 2024 | 1.92 Bn |
| Jun 30, 2024 | 1.39 Bn |
| Mar 31, 2024 | 1.29 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.17 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.16 Bn |
| Sep 30, 2022 | 1.35 Bn |
| Jun 30, 2022 | 1.34 Bn |
| Mar 31, 2022 | 1.28 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.36 Bn |
API Access
Arcosa Total Liabilities 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=total-liabilities&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();