Dycom Industries (DY) Operating Leases (2019 - 2026)
Dycom Industries' Operating Leases was $135.22 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 75.8% from $76.93 million a year earlier and up 55.4% from the prior quarter.
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Analysis
Dycom Industries (DY) Operating Leases (2019 - 2026) Analysis & Trends
From fiscal Q1 2020 onward, Dycom Industries has reported Operating Leases for 28 quarters.
- Operating Leases has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 28.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $76.93 million in FY2025 (+74.4%), $44.11 million in FY2024 (+11.3%), $39.63 million in FY2023 (+8.5%) and $36.52 million in FY2022 (-4.8%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Compared with a year earlier, Operating Leases has increased for 14 straight quarters, with growth averaging 47.5% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q4 2026 (growth of 75.8%); the worst was fiscal Q1 2023 (a decline of 8.6%).
- Per Business Quant data, DY's Operating Leases in the three fiscal quarters before Q4 2026 was $87.03 million (Q3 2026), $78.58 million (Q2 2026) and $74.89 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 135.22 Mn |
| Oct 25, 2025 | 87.03 Mn |
| Jul 26, 2025 | 78.58 Mn |
| Apr 26, 2025 | 74.89 Mn |
| Jan 25, 2025 | 76.93 Mn |
| Oct 26, 2024 | 72.95 Mn |
| Jul 27, 2024 | 46.19 Mn |
| Apr 27, 2024 | 47.12 Mn |
| Jan 27, 2024 | 44.11 Mn |
| Oct 28, 2023 | 43.85 Mn |
| Jul 29, 2023 | 43.21 Mn |
| Apr 29, 2023 | 43.56 Mn |
| Jan 28, 2023 | 39.63 Mn |
| Oct 29, 2022 | 39.51 Mn |
| Jul 30, 2022 | 39.28 Mn |
| Apr 30, 2022 | 37.49 Mn |
| Jan 29, 2022 | 36.52 Mn |
| Oct 30, 2021 | 37.21 Mn |
| Jul 31, 2021 | 40.85 Mn |
| May 1, 2021 | 41.03 Mn |
API Access
Dycom Industries Operating Leases 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=operating-leases&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();