Dycom Industries (DY) EBT (2009 - 2026)
Dycom Industries' EBT was $140.26 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 53.6% from $91.29 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Dycom Industries (DY) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' EBT was $394.22 million through Oct 25, 2025, up 33.5% year-over-year; for FY2025 (ended Jan 25, 2025), it was $307.79 million, up 5.4% from FY2024.
- EBT has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- In earlier fiscal years, EBT was $292 million in FY2024 (+62.1%), $180.12 million in FY2023 (+241.3%), $52.78 million in FY2022 (-10.9%) and $59.22 million in FY2021 (-24.6%).
- The fiscal Q3 2026 figure marks the highest quarterly EBT in data going back to fiscal Q3 2019.
- Compared with a year earlier, EBT has increased for four straight quarters, with growth averaging 18.3% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was fiscal Q1 2024 (growth of 226.7%); the worst was fiscal Q2 2022 (a decline of 49.9%).
- Per Business Quant data, DY's EBT in the three fiscal quarters before Q3 2026 was $131.12 million (Q2 2026), $78.6 million (Q1 2026) and $44.24 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 944.57 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 549.56 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 241.25 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 220.20 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -106.57 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 305.74 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 250.64 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 204.84 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 154.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 154.00 Mn |
| May 2, 2026 | 106.71 Mn |
| Jan 31, 2026 | 17.90 Mn |
| Oct 25, 2025 | 140.26 Mn |
| Jul 26, 2025 | 131.12 Mn |
| Apr 26, 2025 | 78.60 Mn |
| Jan 25, 2025 | 44.24 Mn |
| Oct 26, 2024 | 91.29 Mn |
| Jul 27, 2024 | 94.82 Mn |
| Apr 27, 2024 | 77.44 Mn |
| Jan 27, 2024 | 31.78 Mn |
| Oct 28, 2023 | 112.37 Mn |
| Jul 29, 2023 | 81.76 Mn |
| Apr 29, 2023 | 66.10 Mn |
| Jan 28, 2023 | 31.88 Mn |
| Oct 29, 2022 | 69.16 Mn |
| Jul 30, 2022 | 58.85 Mn |
| Apr 30, 2022 | 20.23 Mn |
| Jan 29, 2022 | -4.93 Mn |
| Oct 30, 2021 | 34.88 Mn |
API Access
Dycom Industries EBT 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=ebt&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();