Dycom Industries (DY) Cash & Equivalents (2010 - 2026)
Dycom Industries (DY) reported Cash & Equivalents of $709.17 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 665.3% from $92.67 million a year earlier and up 544.1% from the prior quarter.
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Analysis
Dycom Industries (DY) Cash & Equivalents (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2018, Dycom Industries' Cash & Equivalents record includes 31 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of 127.0% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $92.67 million in FY2025 (-8.3%), $101.09 million in FY2024 (-54.9%), $224.19 million in FY2023 (-27.9%) and $310.76 million in FY2022.
- The fiscal Q4 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to fiscal Q4 2018.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 142.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2026 (growth of 665.3%); the low point was fiscal Q2 2025 (a decline of 76.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $110.11 million (Q3 2026), $28.46 million (Q2 2026) and $16.12 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 4.97 Bn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 315.64 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 464.45 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 1.17 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 709.17 Mn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 272.76 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 709.17 Mn |
| Oct 25, 2025 | 110.11 Mn |
| Jul 26, 2025 | 28.46 Mn |
| Apr 26, 2025 | 16.12 Mn |
| Jan 25, 2025 | 92.67 Mn |
| Oct 26, 2024 | 15.27 Mn |
| Jul 27, 2024 | 19.56 Mn |
| Apr 27, 2024 | 26.14 Mn |
| Jan 27, 2024 | 101.09 Mn |
| Oct 28, 2023 | 15.67 Mn |
| Jul 29, 2023 | 83.38 Mn |
| Apr 29, 2023 | 71.40 Mn |
| Jan 28, 2023 | 224.19 Mn |
| Oct 29, 2022 | 65.29 Mn |
| Jul 30, 2022 | 120.28 Mn |
| Apr 30, 2022 | 185.57 Mn |
| Jan 29, 2022 | 310.76 Mn |
| Oct 30, 2021 | 263.70 Mn |
| Jul 31, 2021 | 261.95 Mn |
| May 1, 2021 | 330.62 Mn |
API Access
Dycom Industries Cash & Equivalents 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=cash-and-equivalents&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();