Dycom Industries (DY) Income Taxes Paid (2009 - 2026)
Dycom Industries' Income Taxes Paid was $30.12 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 61.8% from $78.9 million a year earlier.
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Analysis
Dycom Industries (DY) Income Taxes Paid (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dycom Industries' Income Taxes Paid was $36.79 million through Aug 1, 2026, down 57.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $84.12 million, up 36.7% from FY2025.
- Income Taxes Paid shows a five-year compound annual growth rate of 13.2% (FY2021 to FY2026).
- In earlier fiscal years, Income Taxes Paid was $61.54 million in FY2025 (-36.3%), $96.62 million in FY2024, $6.92 million in FY2023 (-19.6%) and $8.6 million in FY2022 (-81.0%).
- Quarterly Income Taxes Paid has moved between -$4.05 million (fiscal Q4 2022) and $78.9 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Income Taxes Paid was higher in two of the last eight quarters, with growth averaging 2.7%.
- The best year-over-year quarter for Income Taxes Paid over five years was fiscal Q3 2023 (growth of 433.1%); the worst was fiscal Q3 2022 (a decline of 98.3%).
- Per Business Quant data, DY's Income Taxes Paid in the three fiscal quarters before Q2 2027 was $1.88 million (Q1 2027), $2.86 million (Q4 2026) and $1.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.69 Bn | 87.15 Bn | 2.01 Bn | - |
| 2 | Ferrovial | 44.45 Bn | 25.05 Bn | - | - |
| 3 | Emcor | 28.99 Bn | 25.27 Bn | 1.11 Bn | - |
| 4 | Jacobs Solutions | 18.53 Bn | 13.18 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.68 Bn | 13.36 Bn | 660.86 Mn | 30.38 Mn |
| 6 | Stantec | 9.77 Bn | 8.64 Bn | 2.08 Bn | 44.29 Mn |
| 7 | Aecom | 9.07 Bn | 4.40 Bn | -34.04 Mn | - |
| 8 | Sterling Infrastructure | 8.95 Bn | 7.41 Bn | 377.28 Mn | - |
| 9 | IES Holdings | 6.79 Bn | 5.65 Bn | 340.66 Mn | 70.65 Mn |
| 10 | Dycom Industries | 6.68 Bn | 4.98 Bn | 440.55 Mn | 30.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 30.12 Mn |
| May 2, 2026 | 1.88 Mn |
| Jan 31, 2026 | 2.86 Mn |
| Oct 25, 2025 | 1.94 Mn |
| Jul 26, 2025 | 78.90 Mn |
| Apr 26, 2025 | 420,000.00 |
| Jan 25, 2025 | 3.77 Mn |
| Oct 26, 2024 | 3.84 Mn |
| Jul 27, 2024 | 51.40 Mn |
| Apr 27, 2024 | 2.53 Mn |
| Jan 27, 2024 | 14.72 Mn |
| Oct 28, 2023 | 25.19 Mn |
| Jul 29, 2023 | 38.50 Mn |
| Apr 29, 2023 | 18.20 Mn |
| Jan 28, 2023 | 3.10 Mn |
| Oct 29, 2022 | 1.91 Mn |
| Jul 30, 2022 | 1.92 Mn |
| Apr 30, 2022 | -26,000.00 |
| Jan 29, 2022 | -4.05 Mn |
| Oct 30, 2021 | 359,000.00 |
API Access
Dycom Industries Income Taxes Paid 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=income-taxes-paid&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();