Dycom Industries (DY) Cost of Revenue (2009 - 2026)
Dycom Industries (DY) recorded Cost of Revenue of $1.13 billion in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 12.3% from $1.01 billion a year earlier and up 5.7% from the prior quarter.
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Analysis
Dycom Industries (DY) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Dycom Industries' Cost of Revenue came in at $4.1 billion as of Oct 25, 2025, up 11.6% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $3.77 billion, up 12.1% from FY2024.
- Annual Cost of Revenue has increased for three straight fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $3.36 billion in FY2024 (+6.4%), $3.16 billion in FY2023 (+20.0%), $2.63 billion in FY2022 (-0.3%) and $2.64 billion in FY2021 (-5.0%).
- The fiscal Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q3 2019.
- On a year-over-year basis, Cost of Revenue has increased for 17 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 22.5% in fiscal Q2 2023, against a decline of 8.8% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.07 billion (Q2 2026), $1.01 billion (Q1 2026) and $887.95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 10.01 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 4.43 Bn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 3.27 Bn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 4.49 Bn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 3.62 Bn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 1.19 Bn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 1.15 Bn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 902.04 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 1.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.57 Bn |
| May 2, 2026 | 1.58 Bn |
| Jan 31, 2026 | 1.19 Bn |
| Oct 25, 2025 | 1.13 Bn |
| Jul 26, 2025 | 1.07 Bn |
| Apr 26, 2025 | 1.01 Bn |
| Jan 25, 2025 | 887.95 Mn |
| Oct 26, 2024 | 1.01 Bn |
| Jul 27, 2024 | 952.88 Mn |
| Apr 27, 2024 | 921.64 Mn |
| Jan 27, 2024 | 791.38 Mn |
| Oct 28, 2023 | 886.66 Mn |
| Jul 29, 2023 | 830.41 Mn |
| Apr 29, 2023 | 853.37 Mn |
| Jan 28, 2023 | 765.66 Mn |
| Oct 29, 2022 | 850.90 Mn |
| Jul 30, 2022 | 797.98 Mn |
| Apr 30, 2022 | 745.73 Mn |
| Jan 29, 2022 | 656.63 Mn |
| Oct 30, 2021 | 705.87 Mn |
API Access
Dycom Industries Cost of Revenue 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=cost-of-revenue&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();