Dick'S Sporting Goods (DKS) Tax Provisions (2009 - 2026)
Dick'S Sporting Goods' Tax Provisions came in at $122.95 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.3% from $128.41 million a year earlier and down 2.8% from the prior quarter.
Dick'S Sporting Goods (DKS) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Dick'S Sporting Goods reported Tax Provisions of $330.29 million, down 12.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $292.73 million, down 17.2% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $353.73 million in FY2025 (+30.2%), $271.63 million in FY2024 (-20.3%), $340.61 million in FY2023 (-28.2%) and $474.57 million in FY2022 (+161.5%).
- The five-year range for quarterly Tax Provisions is $23.64 million (fiscal Q1 2024) to $128.41 million (fiscal Q2 2026).
- Year-over-year, Tax Provisions increased in four of the last eight quarters, with an average decline of 3.1%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q1 2025 (growth of 183.7%), and the weakest in fiscal Q1 2024 (a decline of 66.8%).
- Business Quant data shows DKS's Tax Provisions at $126.45 million (Q1 2027), $51.69 million (Q4 2026) and $29.2 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,818.03 Bn | 2,334.73 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 311.69 Bn | 304.93 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.10 Bn | 139.65 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.55 Bn | 102.51 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.35 Bn | 72.44 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 69.75 Bn | 64.34 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 51.60 Bn | 50.50 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 43.25 Bn | 33.74 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Dick'S Sporting Goods | 12.51 Bn | 8.42 Bn | 1.94 Bn | 122.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 122.95 Mn |
| May 2, 2026 | 126.45 Mn |
| Jan 31, 2026 | 51.69 Mn |
| Nov 1, 2025 | 29.20 Mn |
| Aug 2, 2025 | 128.41 Mn |
| May 3, 2025 | 83.43 Mn |
| Feb 1, 2025 | 97.30 Mn |
| Nov 2, 2024 | 69.26 Mn |
| Aug 3, 2024 | 120.10 Mn |
| May 4, 2024 | 67.06 Mn |
| Feb 3, 2024 | 98.91 Mn |
| Oct 28, 2023 | 67.54 Mn |
| Jul 29, 2023 | 81.54 Mn |
| Apr 29, 2023 | 23.64 Mn |
| Jan 28, 2023 | 84.79 Mn |
| Oct 29, 2022 | 75.70 Mn |
| Jul 30, 2022 | 108.82 Mn |
| Apr 30, 2022 | 71.30 Mn |
| Jan 29, 2022 | 114.19 Mn |
| Oct 30, 2021 | 91.31 Mn |
Dick'S Sporting Goods 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=DKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "DKS", "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=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();