Dycom Industries (DY) Cash from Operations (2009 - 2026)
Dycom Industries' Cash from Operations was $220.03 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 234.4% from $65.79 million a year earlier and up 283.0% from the prior quarter.
Dycom Industries (DY) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' Cash from Operations was $551.72 million through Oct 25, 2025, up 59.5% year-over-year; for FY2025 (ended Jan 25, 2025), it was $349.1 million, up 34.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- In earlier fiscal years, Cash from Operations was $258.98 million in FY2024 (+57.2%), $164.79 million in FY2023 (-46.6%), $308.66 million in FY2022 (-19.2%) and $381.78 million in FY2021 (+558.2%).
- Quarterly Cash from Operations has moved between -$85.12 million (fiscal Q1 2024) and $328.22 million (fiscal Q4 2025) over five years.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q3 2026 (growth of 234.4%); the worst was fiscal Q2 2022 (a decline of 79.0%).
- Per Business Quant data, DY's Cash from Operations in the three fiscal quarters before Q3 2026 was $57.44 million (Q2 2026), -$53.97 million (Q1 2026) and $328.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 1.45 Bn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 796.72 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 456.12 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 267.45 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 95.23 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 99.07 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 85.74 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 108.43 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 103.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 103.67 Mn |
| May 2, 2026 | -24.59 Mn |
| Jan 31, 2026 | 419.00 Mn |
| Oct 25, 2025 | 220.03 Mn |
| Jul 26, 2025 | 57.44 Mn |
| Apr 26, 2025 | -53.97 Mn |
| Jan 25, 2025 | 328.22 Mn |
| Oct 26, 2024 | 65.79 Mn |
| Jul 27, 2024 | -7.51 Mn |
| Apr 27, 2024 | -37.40 Mn |
| Jan 27, 2024 | 325.09 Mn |
| Oct 28, 2023 | -37.26 Mn |
| Jul 29, 2023 | 56.27 Mn |
| Apr 29, 2023 | -85.12 Mn |
| Jan 28, 2023 | 246.25 Mn |
| Oct 29, 2022 | -4.51 Mn |
| Jul 30, 2022 | -12.03 Mn |
| Apr 30, 2022 | -64.92 Mn |
| Jan 29, 2022 | 145.54 Mn |
| Oct 30, 2021 | 104.31 Mn |
Dycom Industries Cash from Operations 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-from-operations&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();