Dycom Industries (DY) Total Liabilities (2011 - 2026)
Dycom Industries (DY) reported Total Liabilities of $4.12 billion for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 141.5% from $1.71 billion a year earlier and up 123.7% from the prior quarter.
Dycom Industries (DY) Total Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2018, Dycom Industries' Total Liabilities record includes 31 quarters.
- 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 Q4 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- Year over year, Total Liabilities gained in seven of the last eight quarters, with growth averaging 28.6%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2026 (growth of 141.5%); the low point was fiscal Q1 2022 (a decline of 26.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.84 billion (Q3 2026), $1.85 billion (Q2 2026) and $1.84 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 23.00 Bn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 7.33 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 1.80 Bn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 8.48 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 4.12 Bn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 3.47 Bn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 9.63 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jul 31, 2021 | 1.46 Bn |
| May 1, 2021 | 1.45 Bn |
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_KEY
import 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();