Dycom Industries (DY) Non-Current Debt (2011 - 2026)
Dycom Industries (DY) posted Non-Current Debt of $2.81 billion for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 201.2% from $933.21 million a year earlier and up 205.7% from the prior quarter.
Dycom Industries (DY) Non-Current Debt (2011 - 2026) Analysis & Trends
Since fiscal Q4 2018, Dycom Industries has reported Non-Current Debt for 31 quarters.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 41.2% (FY2021 to FY2026).
- In prior fiscal years, Dycom Industries' Non-Current Debt was $933.21 million in FY2025 (+17.9%), $791.42 million in FY2024 (-2.0%), $807.37 million in FY2023 (-1.9%) and $823.25 million in FY2022 (+64.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non-Current Debt in data going back to fiscal Q4 2018.
- On a year-over-year basis, Non-Current Debt increased in seven of the last eight quarters, with growth averaging 33.6%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q4 2026, with growth of 201.2%; the weakest was fiscal Q1 2022, with a decline of 38.8%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $919.48 million (Q3 2026), $1.01 billion (Q2 2026) and $1.02 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 5.42 Bn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | -681,000.00 |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | 3.58 Bn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 2.57 Bn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 268.73 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | -38.36 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | 105.43 Mn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | 2.65 Bn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | 2.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 2.81 Bn |
| Oct 25, 2025 | 919.48 Mn |
| Jul 26, 2025 | 1.01 Bn |
| Apr 26, 2025 | 1.02 Bn |
| Jan 25, 2025 | 933.21 Mn |
| Oct 26, 2024 | 1.09 Bn |
| Jul 27, 2024 | 942.37 Mn |
| Apr 27, 2024 | 842.42 Mn |
| Jan 27, 2024 | 791.42 Mn |
| Oct 28, 2023 | 949.41 Mn |
| Jul 29, 2023 | 799.40 Mn |
| Apr 29, 2023 | 803.38 Mn |
| Jan 28, 2023 | 807.37 Mn |
| Oct 29, 2022 | 811.35 Mn |
| Jul 30, 2022 | 815.33 Mn |
| Apr 30, 2022 | 819.31 Mn |
| Jan 29, 2022 | 823.25 Mn |
| Oct 30, 2021 | 827.23 Mn |
| Jul 31, 2021 | 831.20 Mn |
| May 1, 2021 | 835.18 Mn |
Dycom Industries Non-Current Debt 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=non-current-debt&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();