Dycom Industries (DY) Revenue (2009 - 2026)
Dycom Industries (DY) reported Revenue of $1.45 billion for fiscal Q3 2026 (quarter ended Oct 25, 2025), up 14.1% from $1.27 billion a year earlier and up 5.4% from the prior quarter.
Dycom Industries (DY) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Oct 25, 2025, Dycom Industries' Revenue came in at $5.17 billion, up 13.2% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $4.7 billion, up 12.6% from FY2024.
- Revenue has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $4.18 billion in FY2024 (+9.6%), $3.81 billion in FY2023 (+21.7%), $3.13 billion in FY2022 (-2.1%) and $3.2 billion in FY2021 (-4.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Revenue in data going back to fiscal Q3 2019.
- Year over year, Revenue has now increased in each of the last 17 quarters, with growth averaging 11.7% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q2 2023 (growth of 23.5%); the low point was fiscal Q1 2022 (a decline of 10.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.38 billion (Q2 2026), $1.26 billion (Q1 2026) and $1.08 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 12.01 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 5.54 Bn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 4.08 Bn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 5.15 Bn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 3.59 Bn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 1.56 Bn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 3.11 Bn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 1.24 Bn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 2.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.01 Bn |
| May 2, 2026 | 1.96 Bn |
| Jan 31, 2026 | 1.46 Bn |
| Oct 25, 2025 | 1.45 Bn |
| Jul 26, 2025 | 1.38 Bn |
| Apr 26, 2025 | 1.26 Bn |
| Jan 25, 2025 | 1.08 Bn |
| Oct 26, 2024 | 1.27 Bn |
| Jul 27, 2024 | 1.20 Bn |
| Apr 27, 2024 | 1.14 Bn |
| Jan 27, 2024 | 952.46 Mn |
| Oct 28, 2023 | 1.14 Bn |
| Jul 29, 2023 | 1.04 Bn |
| Apr 29, 2023 | 1.05 Bn |
| Jan 28, 2023 | 917.47 Mn |
| Oct 29, 2022 | 1.04 Bn |
| Jul 30, 2022 | 972.27 Mn |
| Apr 30, 2022 | 876.30 Mn |
| Jan 29, 2022 | 761.48 Mn |
| Oct 30, 2021 | 853.97 Mn |
Dycom Industries Revenue 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=revenue&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();