Dycom Industries (DY) Shares Outstanding (2010 - 2026)
Dycom Industries' Shares Outstanding came in at 28.95 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), down 0.5% from 29.11 million a year earlier and unchanged from the prior quarter.
Dycom Industries (DY) Shares Outstanding (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Dycom Industries' Shares Outstanding data covers 31 quarters.
- Shares Outstanding has declined in each of the last five fiscal years, with a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 29.11 million in FY2025 (-0.8%), 29.33 million in FY2024 (-0.7%), 29.55 million in FY2023 (-2.6%) and 30.34 million in FY2022 (-4.2%).
- The five-year range for quarterly Shares Outstanding is 28.93 million (fiscal Q1 2026) to 30.68 million (fiscal Q1 2022).
- Year-over-year, Shares Outstanding has declined for 20 consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.5% (fiscal Q2 2026) to 5.4% (fiscal Q3 2022).
- Business Quant data shows DY's Shares Outstanding at 28.95 million (Q3 2026), 28.94 million (Q2 2026) and 28.93 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 150.21 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 718.72 Mn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 44.42 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 78.08 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 30.69 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 117.75 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 39.85 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 28.95 Mn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 114.07 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 128.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 28.95 Mn |
| Oct 25, 2025 | 28.95 Mn |
| Jul 26, 2025 | 28.94 Mn |
| Apr 26, 2025 | 28.93 Mn |
| Jan 25, 2025 | 29.11 Mn |
| Oct 26, 2024 | 29.15 Mn |
| Jul 27, 2024 | 29.10 Mn |
| Apr 27, 2024 | 29.11 Mn |
| Jan 27, 2024 | 29.33 Mn |
| Oct 28, 2023 | 29.33 Mn |
| Jul 29, 2023 | 29.33 Mn |
| Apr 29, 2023 | 29.37 Mn |
| Jan 28, 2023 | 29.55 Mn |
| Oct 29, 2022 | 29.52 Mn |
| Jul 30, 2022 | 29.54 Mn |
| Apr 30, 2022 | 29.64 Mn |
| Jan 29, 2022 | 30.34 Mn |
| Oct 30, 2021 | 30.17 Mn |
| Jul 31, 2021 | 30.43 Mn |
| May 1, 2021 | 30.68 Mn |
Dycom Industries Shares Outstanding 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=shares-outstanding&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();