Arcosa (ACA) Long-Term Debt Repayments (2018 - 2026)
Arcosa's Long-Term Debt Repayments was $85.2 million in Q2 2026, compared with $3.3 million a year earlier.
Arcosa (ACA) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arcosa's Long-Term Debt Repayments was $249.7 million through Jun 30, 2026, down 43.9% year-over-year; for FY2025, it came in at $168.7 million, down 66.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $502 million in FY2024 (+249.1%), $143.8 million in FY2023 (-34.7%), $220.2 million in FY2022 (+164.7%) and $83.2 million in FY2021 (-20.7%).
- Quarterly Long-Term Debt Repayments has moved between $1 million (Q1 2022) and $241.8 million (Q4 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last six quarters, with an average decline of 17.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2022 (growth of 103.0%); the worst was Q4 2023 (a decline of 98.9%).
- Per Business Quant data, ACA's Long-Term Debt Repayments in the three quarters before Q2 2026 was $2.4 million (Q1 2026), $61 million (Q4 2025) and $101.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 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 | - |
| 10 | Arcosa | 7.24 Bn | 6.22 Bn | 155.70 Mn | 85.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.20 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 61.00 Mn |
| Sep 30, 2025 | 101.10 Mn |
| Jun 30, 2025 | 3.30 Mn |
| Mar 31, 2025 | 3.30 Mn |
| Dec 31, 2024 | 241.80 Mn |
| Sep 30, 2024 | 196.80 Mn |
| Jun 30, 2024 | 61.70 Mn |
| Mar 31, 2024 | 1.70 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 136.60 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 160.40 Mn |
| Sep 30, 2022 | 3.50 Mn |
| Jun 30, 2022 | 55.30 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 79.00 Mn |
| Sep 30, 2021 | 2.30 Mn |
Arcosa Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();