Dycom Industries (DY) Return on Equity [ROE] (2009 - 2026)
Dycom Industries' Return on Equity [ROE] was 20.86% in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 2.12 percentage points from 18.74% a year earlier and up 1.06 percentage points from the prior quarter.
Dycom Industries (DY) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Jan 25, 2025), Return on Equity [ROE] at Dycom Industries came in at 20.35%, down 2.41 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of +13.51 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Equity [ROE] was 22.76% in FY2024 (+5.29 pp), 17.48% in FY2023 (+11.29 pp), 6.19% in FY2022 (+2.10 pp) and 4.09% in FY2021 (-2.75 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Equity [ROE] since fiscal Q2 2025.
- Compared with a year earlier, Return on Equity [ROE] was higher in four of the last eight quarters, with an average year-over-year change of -0.06 percentage points.
- The best year-over-year quarter for Return on Equity [ROE] over five years was fiscal Q1 2024 (a gain of 10.86 percentage points); the worst was fiscal Q3 2025 (a drop of 3.09 percentage points).
- Per Business Quant data, DY's Return on Equity [ROE] in the three fiscal quarters before Q3 2026 was 19.80% (Q2 2026), 18.51% (Q1 2026) and 18.88% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 16.84% |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 36.94% |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 9.18% |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 13.75% |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 13.89% |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 40.32% |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 36.28% |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 39.78% |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 16.65% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.65% |
| May 2, 2026 | 16.59% |
| Jan 31, 2026 | 16.83% |
| Oct 25, 2025 | 20.86% |
| Jul 26, 2025 | 19.80% |
| Apr 26, 2025 | 18.51% |
| Jan 25, 2025 | 18.88% |
| Oct 26, 2024 | 18.74% |
| Jul 27, 2024 | 21.27% |
| Apr 27, 2024 | 21.54% |
| Jan 27, 2024 | 20.76% |
| Oct 28, 2023 | 21.83% |
| Jul 29, 2023 | 20.48% |
| Apr 29, 2023 | 19.73% |
| Jan 28, 2023 | 16.47% |
| Oct 29, 2022 | 14.28% |
| Jul 30, 2022 | 11.95% |
| Apr 30, 2022 | 8.86% |
| Jan 29, 2022 | 6.19% |
| Oct 30, 2021 | 5.48% |
Dycom Industries Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();