Arcosa (ACA) Tax Provisions (2017 - 2026)
Arcosa's Tax Provisions came in at $11.4 million for Q2 2026, up 75.4% from $6.5 million a year earlier and up 776.9% from the prior quarter.
Arcosa (ACA) Tax Provisions (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arcosa reported Tax Provisions of $29.9 million, unchanged year-over-year; for FY2025, it was $32.9 million, down 9.4% from FY2024.
- Tax Provisions has declined in each of the last three years, though with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $36.3 million in FY2024 (-1.1%), $36.7 million in FY2023 (-47.9%), $70.4 million in FY2022 (+402.9%) and $14 million in FY2021 (-55.7%).
- The five-year range for quarterly Tax Provisions is -$1 million (Q4 2021) to $45.3 million (Q4 2022).
- Year-over-year, Tax Provisions increased in three of the last eight quarters, with growth averaging 43.6%.
- The fastest year-over-year change in Tax Provisions over five years came in Q3 2025 (growth of 464.0%), and the weakest in Q4 2025 (a decline of 82.9%).
- Business Quant data shows ACA's Tax Provisions at $1.3 million (Q1 2026), $3.1 million (Q4 2025) and $14.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 198.00 Mn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 183.00 Mn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 122.20 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 11.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.40 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 3.10 Mn |
| Sep 30, 2025 | 14.10 Mn |
| Jun 30, 2025 | 6.50 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 18.10 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 7.60 Mn |
| Mar 31, 2024 | 8.10 Mn |
| Dec 31, 2023 | 9.40 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 5.60 Mn |
| Mar 31, 2023 | 14.20 Mn |
| Dec 31, 2022 | 45.30 Mn |
| Sep 30, 2022 | 8.60 Mn |
| Jun 30, 2022 | 10.10 Mn |
| Mar 31, 2022 | 6.40 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Sep 30, 2021 | 6.40 Mn |
Arcosa Tax Provisions 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=tax-provisions&ticker=ACA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();