Dycom Industries (DY) Return on Sales [ROS] (2010 - 2025)
Dycom Industries' Return on Sales [ROS] came in at -67.56% for fiscal Q3 2026 (quarter ended Oct 25, 2025), up 3.63 percentage points from -71.19% a year earlier but down 0.03 percentage points from the prior quarter.
Dycom Industries (DY) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Oct 25, 2025, Dycom Industries reported Return on Sales [ROS] of -70.98%, up 2.19 percentage points year-over-year; for FY2025 (ended Jan 25, 2025), it came in at -72.93%, down 0.16 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +6.77 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was -72.78% in FY2024 (+4.68 pp), -77.45% in FY2023 (+4.08 pp), -81.53% in FY2022 (-1.08 pp) and -80.45% in FY2021 (-0.74 pp).
- The five-year range for quarterly Return on Sales [ROS] is -86.29% (fiscal Q4 2021) to -67.53% (fiscal Q3 2024).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +0.83 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2024 (a gain of 7.61 percentage points), and the weakest in fiscal Q2 2022 (a drop of 5.27 percentage points).
- Business Quant data shows DY's Return on Sales [ROS] at -67.54% (Q2 2026), -73.55% (Q1 2026) and -76.93% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 10.62% |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 5.17% |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 18.77% |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 7.03% |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 14.37% |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 11.45% |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -2.12% |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | -67.56% |
| Jul 26, 2025 | -67.54% |
| Apr 26, 2025 | -73.55% |
| Jan 25, 2025 | -76.93% |
| Oct 26, 2024 | -71.19% |
| Jul 27, 2024 | -70.56% |
| Apr 27, 2024 | -73.58% |
| Jan 27, 2024 | -78.59% |
| Oct 28, 2023 | -67.53% |
| Jul 29, 2023 | -71.25% |
| Apr 29, 2023 | -74.69% |
| Jan 28, 2023 | -78.76% |
| Oct 29, 2022 | -74.21% |
| Jul 30, 2022 | -75.33% |
| Apr 30, 2022 | -82.30% |
| Jan 29, 2022 | -85.74% |
| Oct 30, 2021 | -77.57% |
| Jul 31, 2021 | -78.51% |
| May 1, 2021 | -85.03% |
| Jan 30, 2021 | -86.29% |
Dycom Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();