Dycom Industries (DY) Return on Sales [ROS] (2009 - 2026)
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] (2009 - 2026) 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 | 87.86 Bn | 84.32 Bn | 2.01 Bn | 8.54% |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 9.85% |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 5.35% |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -2.12% |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 19.62% |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 12.58% |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 14.37% |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | -68.47% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -68.47% |
| May 2, 2026 | -73.00% |
| Jan 31, 2026 | 9.42% |
| 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 | 7.09% |
| 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 | 2.80% |
| Jan 29, 2022 | -85.74% |
| Oct 30, 2021 | -77.57% |
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();