Dycom Industries (DY) Goodwill & Intangibles (2011 - 2026)
Dycom Industries (DY) posted Goodwill & Intangibles of $2.37 billion for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 330.7% from $550.08 million a year earlier and up 358.6% from the prior quarter.
Powered by 
Analysis
Dycom Industries (DY) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
Since fiscal Q4 2018, Dycom Industries has reported Goodwill & Intangibles for 31 quarters.
- Annual Goodwill & Intangibles has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 43.3% (FY2021 to FY2026).
- In prior fiscal years, Dycom Industries' Goodwill & Intangibles was $550.08 million in FY2025 (+30.7%), $420.95 million in FY2024 (+17.2%), $359.11 million in FY2023 (-4.1%) and $374.32 million in FY2022 (-4.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2018.
- On a year-over-year basis, Goodwill & Intangibles increased in seven of the last eight quarters, with growth averaging 59.6%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q4 2026, with growth of 330.7%; the weakest was fiscal Q3 2026, with a decline of 7.8%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $516.64 million (Q3 2026), $528.48 million (Q2 2026) and $538.27 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 2.37 Bn |
| Oct 25, 2025 | 516.64 Mn |
| Jul 26, 2025 | 528.48 Mn |
| Apr 26, 2025 | 538.27 Mn |
| Jan 25, 2025 | 550.08 Mn |
| Oct 26, 2024 | 560.07 Mn |
| Jul 27, 2024 | 429.56 Mn |
| Apr 27, 2024 | 423.77 Mn |
| Jan 27, 2024 | 420.95 Mn |
| Oct 28, 2023 | 425.76 Mn |
| Jul 29, 2023 | 352.13 Mn |
| Apr 29, 2023 | 355.60 Mn |
| Jan 28, 2023 | 359.11 Mn |
| Oct 29, 2022 | 362.62 Mn |
| Jul 30, 2022 | 366.51 Mn |
| Apr 30, 2022 | 370.39 Mn |
| Jan 29, 2022 | 374.32 Mn |
| Oct 30, 2021 | 378.35 Mn |
| Jul 31, 2021 | 382.45 Mn |
| May 1, 2021 | 387.13 Mn |
API Access
Dycom Industries Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();