Arcosa (ACA) EPS (Diluted) (2017 - 2026)
Arcosa (ACA) recorded EPS (Diluted) of $6.68 in Q2 2026, up 448.0% from $1.22 a year earlier and up 769.0% from the prior quarter.
Powered by 
Analysis
Arcosa (ACA) EPS (Diluted) (2017 - 2026) Analysis & Trends
On a TTM basis, Arcosa's EPS (Diluted) came in at $9.99 as of Jun 30, 2026, up 430.8% year-over-year; for FY2025, it came in at $4.25, up 121.5% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $1.92 in FY2024 (-41.3%), $3.27 in FY2023 (-35.5%), $5.07 in FY2022 (+253.9%) and $1.43 in FY2021 (-34.8%).
- The Q2 2026 figure is the highest quarterly EPS (Diluted) in data going back to Q3 2017.
- On a year-over-year basis, EPS (Diluted) rose in four of the last six quarters, with growth averaging 130.3%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 448.0% in Q2 2026, against a decline of 82.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.77 (Q1 2026), $1.06 (Q4 2025) and $1.49 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.19 Bn | 305.89 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 194.62 Bn | 189.21 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 171.44 Bn | 139.54 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 148.02 Bn | 145.20 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 118.83 Bn | 116.96 Bn | 2.25 Bn | 8.52 |
| 6 | Emerson Electric | 89.24 Bn | 81.98 Bn | 2.66 Bn | 1.28 |
| 7 | 3M | 89.00 Bn | 70.40 Bn | 2.68 Bn | 1.79 |
| 8 | Illinois Tool Works | 78.48 Bn | 75.04 Bn | 1.90 Bn | 2.84 |
| 9 | Vertiv Holdings | 78.24 Bn | 68.86 Bn | 1.23 Bn | 1.27 |
| 10 | Arcosa | 7.23 Bn | 6.21 Bn | 155.70 Mn | 6.68 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68 |
| Mar 31, 2026 | 0.77 |
| Dec 31, 2025 | 1.06 |
| Sep 30, 2025 | 1.49 |
| Jun 30, 2025 | 1.22 |
| Mar 31, 2025 | 0.48 |
| Dec 31, 2024 | -0.16 |
| Sep 30, 2024 | 0.34 |
| Jun 30, 2024 | 0.94 |
| Mar 31, 2024 | 0.80 |
| Dec 31, 2023 | 0.56 |
| Sep 30, 2023 | 0.73 |
| Jun 30, 2023 | 0.84 |
| Mar 31, 2023 | 1.14 |
| Dec 31, 2022 | 3.19 |
| Sep 30, 2022 | 0.66 |
| Jun 30, 2022 | 0.80 |
| Mar 31, 2022 | 0.41 |
| Dec 31, 2021 | 0.19 |
| Sep 30, 2021 | 0.49 |
API Access
Arcosa EPS (Diluted) 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=eps-diluted&ticker=ACA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ACA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();