Dycom Industries (DY) Long-Term Debt Repayments (2009 - 2026)
Dycom Industries (DY) recorded Long-Term Debt Repayments of $90 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), down 71.7% from $318 million a year earlier.
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Analysis
Dycom Industries (DY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Dycom Industries' Long-Term Debt Repayments came in at $673 million as of Oct 25, 2025, down 26.2% year-over-year; for FY2025 (ended Jan 25, 2025), it was $852.38 million, up 9.2% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $780.5 million in FY2024, $17.5 million in FY2023 (-93.6%), $271.88 million in FY2022 (-72.1%) and $973.5 million in FY2021 (+102.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Long-Term Debt Repayments since fiscal Q2 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last four quarters, with growth averaging 23.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 182.5% in fiscal Q1 2026, against a decline of 98.4% in fiscal Q1 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.46 Bn | 85.84 Bn | 2.01 Bn | 10.18 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 689,000.00 |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.23 Bn | 12.76 Bn | 660.86 Mn | 2.77 Bn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 1.43 Bn |
| 7 | Sterling Infrastructure | 8.90 Bn | 7.32 Bn | 377.28 Mn | 353.87 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | -71.43 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 138.36 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 97,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 97,000.00 |
| Jan 31, 2026 | -1.71 Bn |
| Oct 25, 2025 | 90.00 Mn |
| Apr 26, 2025 | 196.00 Mn |
| Jan 25, 2025 | 387.00 Mn |
| Oct 26, 2024 | 318.00 Mn |
| Jul 27, 2024 | 78.00 Mn |
| Apr 27, 2024 | 69.38 Mn |
| Jan 27, 2024 | 446.38 Mn |
| Oct 28, 2023 | 325.38 Mn |
| Jul 29, 2023 | 4.38 Mn |
| Apr 29, 2023 | 4.38 Mn |
| Jan 28, 2023 | 4.38 Mn |
| Oct 29, 2022 | 4.38 Mn |
| Jul 30, 2022 | 4.38 Mn |
| Apr 30, 2022 | 4.38 Mn |
| Oct 30, 2021 | 58.26 Mn |
| May 1, 2021 | 271.88 Mn |
| Jan 30, 2021 | 670.36 Mn |
| Oct 24, 2020 | 401.74 Mn |
API Access
Dycom Industries Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();