Dycom Industries (DY) Other Operating Expenses (2011 - 2025)
Dycom Industries' Other Operating Expenses was $1.14 billion in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 12.4% from $1.02 billion a year earlier and up 5.6% from the prior quarter.
Dycom Industries (DY) Other Operating Expenses (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' Other Operating Expenses was $4.15 billion through Oct 25, 2025, up 12.0% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $3.8 billion, up 12.4% from FY2024.
- Other Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $3.38 billion in FY2024 (+6.5%), $3.18 billion in FY2023 (+19.8%), $2.65 billion in FY2022 (-2.4%) and $2.72 billion in FY2021 (-3.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2019.
- Compared with a year earlier, Other Operating Expenses has increased for 17 straight quarters, with growth averaging 11.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2023 (growth of 22.2%); the worst was fiscal Q1 2022 (a decline of 15.4%).
- Per Business Quant data, DY's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $1.08 billion (Q2 2026), $1.02 billion (Q1 2026) and $897.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn |
| 10 | Dycom Industries | 6.73 Bn | 5.86 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | 1.14 Bn |
| Jul 26, 2025 | 1.08 Bn |
| Apr 26, 2025 | 1.02 Bn |
| Jan 25, 2025 | 897.94 Mn |
| Oct 26, 2024 | 1.02 Bn |
| Jul 27, 2024 | 958.75 Mn |
| Apr 27, 2024 | 927.44 Mn |
| Jan 27, 2024 | 798.20 Mn |
| Oct 28, 2023 | 892.68 Mn |
| Jul 29, 2023 | 833.90 Mn |
| Apr 29, 2023 | 856.84 Mn |
| Jan 28, 2023 | 769.26 Mn |
| Oct 29, 2022 | 854.75 Mn |
| Jul 30, 2022 | 801.83 Mn |
| Apr 30, 2022 | 749.67 Mn |
| Jan 29, 2022 | 660.62 Mn |
| Oct 30, 2021 | 709.93 Mn |
| Jul 31, 2021 | 656.03 Mn |
| May 1, 2021 | 624.69 Mn |
| Jan 30, 2021 | 650.69 Mn |
Dycom Industries Other Operating Expenses 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=other-operating-expenses&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();