Dycom Industries (DY) EPS (Diluted) (2010 - 2025)
Dycom Industries (DY) posted EPS (Diluted) of $3.63 for fiscal Q3 2026 (quarter ended Oct 25, 2025), up 53.2% from $2.37 a year earlier and up 8.8% from the prior quarter.
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Analysis
Dycom Industries (DY) EPS (Diluted) (2010 - 2025) Analysis & Trends
For the trailing twelve months through Oct 25, 2025, EPS (Diluted) at Dycom Industries was $10.15, up 33.4% year-over-year; for FY2025 (ended Jan 25, 2025), it was $7.92, up 7.4% from FY2024.
- Annual EPS (Diluted) has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- In prior fiscal years, Dycom Industries' EPS (Diluted) was $7.37 in FY2024 (+55.5%), $4.74 in FY2023 (+201.0%), $1.57 in FY2022 (+47.2%) and $1.07 in FY2021 (-40.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to fiscal Q3 2019.
- On a year-over-year basis, EPS (Diluted) increased in five of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q1 2024, with growth of 166.7%; the weakest was fiscal Q2 2022, with a decline of 48.9%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $3.33 (Q2 2026), $2.09 (Q1 2026) and $1.11 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 2.96 |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 9.06 |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 1.65 |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 1.15 |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 5.00 |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 3.79 |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 1.65 |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn | -0.67 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | 3.63 |
| Jul 26, 2025 | 3.33 |
| Apr 26, 2025 | 2.09 |
| Jan 25, 2025 | 1.11 |
| Oct 26, 2024 | 2.37 |
| Jul 27, 2024 | 2.32 |
| Apr 27, 2024 | 2.12 |
| Jan 27, 2024 | 0.79 |
| Oct 28, 2023 | 2.82 |
| Jul 29, 2023 | 2.03 |
| Apr 29, 2023 | 1.73 |
| Jan 28, 2023 | 0.83 |
| Oct 29, 2022 | 1.80 |
| Jul 30, 2022 | 1.46 |
| Apr 30, 2022 | 0.65 |
| Jan 29, 2022 | 0.03 |
| Oct 30, 2021 | 0.94 |
| Jul 31, 2021 | 0.59 |
| May 1, 2021 | 0.03 |
| Jan 30, 2021 | -0.13 |
API Access
Dycom Industries 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=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "DY", "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=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();