Dycom Industries (DY) Total Liabilities (2009 - 2026)
Dycom Industries (DY) reported Total Liabilities of $4.48 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 141.9% from $1.85 billion a year earlier and up 4.5% from the prior quarter.
Powered by 
Analysis
Dycom Industries (DY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dycom Industries posted Total Liabilities of $4.12 billion, up 141.5% from FY2025.
- Total Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 29.5% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $1.71 billion in FY2025 (+16.7%), $1.46 billion in FY2024 (+1.2%), $1.44 billion in FY2023 (+6.2%) and $1.36 billion in FY2022 (+20.0%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 60.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2027 (growth of 141.9%); the low point was fiscal Q1 2023 (a decline of 5.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $4.28 billion (Q1 2027), $4.12 billion (Q4 2026) and $1.84 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | 22.13 Bn |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | 25.27 Bn |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | 6.96 Bn |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | 8.48 Bn |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 9.94 Bn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | 3.66 Bn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | 9.63 Bn |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | 1.93 Bn |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 1.05 Bn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn | 4.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.48 Bn |
| May 2, 2026 | 4.28 Bn |
| Jan 31, 2026 | 4.12 Bn |
| Oct 25, 2025 | 1.84 Bn |
| Jul 26, 2025 | 1.85 Bn |
| Apr 26, 2025 | 1.84 Bn |
| Jan 25, 2025 | 1.71 Bn |
| Oct 26, 2024 | 1.88 Bn |
| Jul 27, 2024 | 1.62 Bn |
| Apr 27, 2024 | 1.53 Bn |
| Jan 27, 2024 | 1.46 Bn |
| Oct 28, 2023 | 1.61 Bn |
| Jul 29, 2023 | 1.43 Bn |
| Apr 29, 2023 | 1.41 Bn |
| Jan 28, 2023 | 1.44 Bn |
| Oct 29, 2022 | 1.45 Bn |
| Jul 30, 2022 | 1.41 Bn |
| Apr 30, 2022 | 1.37 Bn |
| Jan 29, 2022 | 1.36 Bn |
| Oct 30, 2021 | 1.39 Bn |
API Access
Dycom Industries Total Liabilities 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=total-liabilities&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();