Dycom Industries (DY) Retained Earnings (2011 - 2026)
Dycom Industries (DY) posted Retained Earnings of $1.47 billion for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 20.2% from $1.22 billion a year earlier and up 1.1% from the prior quarter.
Dycom Industries (DY) Retained Earnings (2011 - 2026) Analysis & Trends
Since fiscal Q4 2018, Dycom Industries has reported Retained Earnings for 31 quarters.
- Annual Retained Earnings has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- In prior fiscal years, Dycom Industries' Retained Earnings was $1.22 billion in FY2025 (+17.3%), $1.04 billion in FY2024 (+21.7%), $855.09 million in FY2023 (+14.3%) and $748.41 million in FY2022 (-6.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q4 2018.
- On a year-over-year basis, Retained Earnings has increased in each of the last 15 quarters, with growth averaging 19.0% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q3 2024, with growth of 22.5%; the weakest was fiscal Q3 2022, with a decline of 8.0%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $1.45 billion (Q3 2026), $1.34 billion (Q2 2026) and $1.25 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 7.31 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 6.68 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 2.90 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 1.12 Bn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 946.46 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.15 Bn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 1.47 Bn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -1.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 1.47 Bn |
| Oct 25, 2025 | 1.45 Bn |
| Jul 26, 2025 | 1.34 Bn |
| Apr 26, 2025 | 1.25 Bn |
| Jan 25, 2025 | 1.22 Bn |
| Oct 26, 2024 | 1.20 Bn |
| Jul 27, 2024 | 1.13 Bn |
| Apr 27, 2024 | 1.06 Bn |
| Jan 27, 2024 | 1.04 Bn |
| Oct 28, 2023 | 1.03 Bn |
| Jul 29, 2023 | 942.83 Mn |
| Apr 29, 2023 | 882.59 Mn |
| Jan 28, 2023 | 855.09 Mn |
| Oct 29, 2022 | 838.35 Mn |
| Jul 30, 2022 | 784.34 Mn |
| Apr 30, 2022 | 747.13 Mn |
| Jan 29, 2022 | 748.41 Mn |
| Oct 30, 2021 | 798.54 Mn |
| Jul 31, 2021 | 769.82 Mn |
| May 1, 2021 | 797.65 Mn |
Dycom Industries Retained Earnings 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=retained-earnings&ticker=DY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();