Dycom Industries (DY) Other Operating Expenses (2011 - 2026)
Dycom Industries (DY) reported Other Operating Expenses of -$1.28 billion for fiscal Q4 2026 (quarter ended Jan 31, 2026).
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Analysis
Dycom Industries (DY) Other Operating Expenses (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Dycom Industries posted Other Operating Expenses of -$4.68 billion.
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Operating Expenses since fiscal Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.63 Bn |
| May 2, 2026 | 1.64 Bn |
| 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 |
API Access
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_KEYimport 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();