Dycom Industries (DY) Tax Provisions (2010 - 2025)
Dycom Industries (DY) recorded Tax Provisions of $33.9 million in fiscal Q3 2026 (quarter ended Oct 25, 2025), up 57.6% from $21.5 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Dycom Industries (DY) Tax Provisions (2010 - 2025) Analysis & Trends
On a TTM basis, Dycom Industries' Tax Provisions came in at $96.65 million as of Oct 25, 2025, up 35.8% year-over-year; for FY2025 (ended Jan 25, 2025), it came in at $74.38 million, up 1.8% from FY2024.
- Annual Tax Provisions has increased for three straight fiscal years, with a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- Across earlier fiscal years, Tax Provisions came in at $73.08 million in FY2024 (+92.8%), $37.91 million in FY2023 (+802.2%), $4.2 million in FY2022 (-83.1%) and $24.88 million in FY2021 (+16.7%).
- The fiscal Q3 2026 figure is the highest quarterly Tax Provisions in data going back to fiscal Q3 2019.
- On a year-over-year basis, Tax Provisions has increased for four consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 145.9% in fiscal Q3 2023, against a decline of 48.8% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.64 million (Q2 2026), $17.55 million (Q1 2026) and $11.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 157.58 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 147.97 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 48.00 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 51.32 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 104.64 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 51.29 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 61.88 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -26.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2025 | 33.90 Mn |
| Jul 26, 2025 | 33.64 Mn |
| Apr 26, 2025 | 17.55 Mn |
| Jan 25, 2025 | 11.57 Mn |
| Oct 26, 2024 | 21.50 Mn |
| Jul 27, 2024 | 26.42 Mn |
| Apr 27, 2024 | 14.89 Mn |
| Jan 27, 2024 | 8.36 Mn |
| Oct 28, 2023 | 28.63 Mn |
| Jul 29, 2023 | 21.51 Mn |
| Apr 29, 2023 | 14.58 Mn |
| Jan 28, 2023 | 7.07 Mn |
| Oct 29, 2022 | 15.14 Mn |
| Jul 30, 2022 | 15.00 Mn |
| Apr 30, 2022 | 694,000.00 |
| Jan 29, 2022 | -5.73 Mn |
| Oct 30, 2021 | 6.16 Mn |
| Jul 31, 2021 | 6.50 Mn |
| May 1, 2021 | -2.72 Mn |
| Jan 30, 2021 | -2.07 Mn |
API Access
Dycom Industries Tax Provisions 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=tax-provisions&ticker=DY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();