Dycom Industries (DY) Return on Capital Employed [ROCE] (2011 - 2025)
Dycom Industries' Return on Capital Employed [ROCE] was -140.35% in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 2.63 percentage points from -142.98% a year earlier and up 0.69 percentage points from the prior quarter.
Dycom Industries (DY) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2025 (ended Jan 25, 2025), Return on Capital Employed [ROCE] at Dycom Industries came in at -159.95%, down 0.75 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -14.85 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -159.20% in FY2024 (+9.72 pp), -168.92% in FY2023 (-14.18 pp), -154.74% in FY2022 (+2.92 pp) and -157.66% in FY2021 (-12.56 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for ten straight quarters, with an average year-over-year change of +7.36 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2022 (a gain of 21.98 percentage points); the worst was fiscal Q4 2021 (a drop of 31.20 percentage points).
- Per Business Quant data, DY's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was -141.04% (Q2 2026), -146.84% (Q1 2026) and -140.38% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 41.90% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 12.51% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 35.48% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 8.23% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 41.31% |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 23.83% |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 10.51% |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | -140.35% |
| Jul 26, 2025 | -141.04% |
| Apr 26, 2025 | -146.84% |
| Jan 25, 2025 | -140.38% |
| Oct 26, 2024 | -142.98% |
| Jul 27, 2024 | -146.74% |
| Apr 27, 2024 | -151.10% |
| Jan 27, 2024 | -145.80% |
| Oct 28, 2023 | -147.61% |
| Jul 29, 2023 | -159.39% |
| Apr 29, 2023 | -160.13% |
| Jan 28, 2023 | -160.34% |
| Oct 29, 2022 | -161.37% |
| Jul 30, 2022 | -159.40% |
| Apr 30, 2022 | -153.51% |
| Jan 29, 2022 | -143.42% |
| Oct 30, 2021 | -139.18% |
| Jul 31, 2021 | -138.30% |
| May 1, 2021 | -148.80% |
| Jan 30, 2021 | -165.39% |
Dycom Industries Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();