Dycom Industries (DY) Capital Expenditures (2011 - 2025)
Dycom Industries (DY) recorded Capital Expenditures of $55.22 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), down 26.0% from $74.58 million a year earlier but up 6.8% from the prior quarter.
Dycom Industries (DY) Capital Expenditures (2011 - 2025) Analysis & Trends
On a TTM basis, Dycom Industries' Capital Expenditures came in at $254.9 million as of Oct 25, 2025, up 6.5% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $250.46 million, up 14.6% from FY2024.
- Annual Capital Expenditures has increased for four straight fiscal years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $218.49 million in FY2024 (+8.7%), $200.96 million in FY2023 (+28.0%), $157.04 million in FY2022 (+170.5%) and $58.05 million in FY2021 (-51.9%).
- Quarterly Capital Expenditures has ranged from $21.94 million in fiscal Q4 2021 to $79.5 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 10.9%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 509.7% in fiscal Q2 2022, against a decline of 26.0% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $51.69 million (Q2 2026), $79.5 million (Q1 2026) and $68.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 50.02 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 25.13 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | -30.00 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 40.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | 55.22 Mn |
| Jul 26, 2025 | 51.69 Mn |
| Apr 26, 2025 | 79.50 Mn |
| Jan 25, 2025 | 68.49 Mn |
| Oct 26, 2024 | 74.58 Mn |
| Jul 27, 2024 | 65.43 Mn |
| Apr 27, 2024 | 41.96 Mn |
| Jan 27, 2024 | 57.36 Mn |
| Oct 28, 2023 | 67.25 Mn |
| Jul 29, 2023 | 50.97 Mn |
| Apr 29, 2023 | 42.92 Mn |
| Jan 28, 2023 | 65.18 Mn |
| Oct 29, 2022 | 54.85 Mn |
| Jul 30, 2022 | 42.53 Mn |
| Apr 30, 2022 | 38.41 Mn |
| Jan 29, 2022 | 43.57 Mn |
| Oct 30, 2021 | 45.13 Mn |
| Jul 31, 2021 | 36.72 Mn |
| May 1, 2021 | 31.63 Mn |
| Jan 30, 2021 | 21.94 Mn |
Dycom Industries Capital Expenditures 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=capital-expenditures&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();