Dycom Industries (DY) Net Income (2009 - 2026)
Dycom Industries' Net Income was $106.37 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 52.4% from $69.79 million a year earlier and up 9.1% from the prior quarter.
Dycom Industries (DY) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' Net Income was $297.57 million through Oct 25, 2025, up 32.7% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $233.41 million, up 6.6% from FY2024.
- Net Income has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- In earlier fiscal years, Net Income was $218.92 million in FY2024 (+53.9%), $142.21 million in FY2023 (+192.8%), $48.57 million in FY2022 (+41.5%) and $34.34 million in FY2021 (-40.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Net Income in data going back to fiscal Q3 2019.
- Compared with a year earlier, Net Income was higher in five of the last eight quarters, with growth averaging 18.1%.
- The best year-over-year quarter for Net Income over five years was fiscal Q1 2024 (growth of 163.7%); the worst was fiscal Q2 2022 (a decline of 50.9%).
- Per Business Quant data, DY's Net Income in the three fiscal quarters before Q3 2026 was $97.48 million (Q2 2026), $61.05 million (Q1 2026) and $32.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 706.91 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 399.93 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 136.55 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 167.72 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -86.71 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 229.68 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 108.66 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 153.55 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 115.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 115.64 Mn |
| May 2, 2026 | 91.29 Mn |
| Jan 31, 2026 | 16.29 Mn |
| Oct 25, 2025 | 106.37 Mn |
| Jul 26, 2025 | 97.48 Mn |
| Apr 26, 2025 | 61.05 Mn |
| Jan 25, 2025 | 32.67 Mn |
| Oct 26, 2024 | 69.79 Mn |
| Jul 27, 2024 | 68.40 Mn |
| Apr 27, 2024 | 62.55 Mn |
| Jan 27, 2024 | 23.42 Mn |
| Oct 28, 2023 | 83.74 Mn |
| Jul 29, 2023 | 60.25 Mn |
| Apr 29, 2023 | 51.52 Mn |
| Jan 28, 2023 | 24.81 Mn |
| Oct 29, 2022 | 54.01 Mn |
| Jul 30, 2022 | 43.86 Mn |
| Apr 30, 2022 | 19.54 Mn |
| Jan 29, 2022 | 794,000.00 |
| Oct 30, 2021 | 28.72 Mn |
Dycom Industries Net Income 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=net-income&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();