Dycom Industries (DY) Other Accumulated Expenses (2011 - 2026)
Dycom Industries' Other Accumulated Expenses came in at $256.48 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 53.6% from $166.97 million a year earlier and up 32.6% from the prior quarter.
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Analysis
Dycom Industries (DY) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Dycom Industries' Other Accumulated Expenses data covers 31 quarters.
- Other Accumulated Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 16.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $166.97 million in FY2025 (+13.4%), $147.22 million in FY2024 (+4.2%), $141.33 million in FY2023 (+10.2%) and $128.21 million in FY2022 (+6.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2018.
- Year-over-year, Other Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 15.9%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q4 2026 (growth of 53.6%), and the weakest in fiscal Q1 2024 (a decline of 4.3%).
- Business Quant data shows DY's Other Accumulated Expenses at $193.37 million (Q3 2026), $172.34 million (Q2 2026) and $135.18 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 256.48 Mn |
| Oct 25, 2025 | 193.37 Mn |
| Jul 26, 2025 | 172.34 Mn |
| Apr 26, 2025 | 135.18 Mn |
| Jan 25, 2025 | 166.97 Mn |
| Oct 26, 2024 | 195.66 Mn |
| Jul 27, 2024 | 158.34 Mn |
| Apr 27, 2024 | 129.86 Mn |
| Jan 27, 2024 | 147.22 Mn |
| Oct 28, 2023 | 156.06 Mn |
| Jul 29, 2023 | 141.73 Mn |
| Apr 29, 2023 | 116.97 Mn |
| Jan 28, 2023 | 141.33 Mn |
| Oct 29, 2022 | 160.50 Mn |
| Jul 30, 2022 | 143.68 Mn |
| Apr 30, 2022 | 122.21 Mn |
| Jan 29, 2022 | 128.21 Mn |
| Oct 30, 2021 | 127.93 Mn |
| Jul 31, 2021 | 124.06 Mn |
| May 1, 2021 | 115.32 Mn |
API Access
Dycom Industries Other Accumulated 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-accumulated-expenses&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();