Dick'S Sporting Goods (DKS) EBT (2009 - 2026)
Dick'S Sporting Goods (DKS) posted EBT of $438.41 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 14.0% from $509.82 million a year earlier and down 1.8% from the prior quarter.
Dick'S Sporting Goods (DKS) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBT at Dick'S Sporting Goods was $1.17 billion, down 24.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.14 billion, down 24.8% from FY2025.
- Annual EBT shows a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- In prior fiscal years, Dick'S Sporting Goods' EBT was $1.52 billion in FY2025 (+15.2%), $1.32 billion in FY2024 (-4.7%), $1.38 billion in FY2023 (-30.6%) and $1.99 billion in FY2022 (+180.2%).
- Quarterly EBT has run from a low of $104.41 million in fiscal Q3 2026 to a high of $509.82 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBT increased in five of the last eight quarters, with an average decline of 10.9%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q3 2022, with growth of 72.0%; the weakest was fiscal Q3 2026, with a decline of 64.9%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $446.28 million (Q1 2027), $180.03 million (Q4 2026) and $104.41 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 80.86 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.32 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.02 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 3.18 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.13 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 924.08 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 2.46 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 813.27 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 579.00 Mn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 438.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 438.41 Mn |
| May 2, 2026 | 446.28 Mn |
| Jan 31, 2026 | 180.03 Mn |
| Nov 1, 2025 | 104.41 Mn |
| Aug 2, 2025 | 509.82 Mn |
| May 3, 2025 | 347.72 Mn |
| Feb 1, 2025 | 397.27 Mn |
| Nov 2, 2024 | 297.07 Mn |
| Aug 3, 2024 | 482.33 Mn |
| May 4, 2024 | 342.36 Mn |
| Feb 3, 2024 | 395.34 Mn |
| Oct 28, 2023 | 268.65 Mn |
| Jul 29, 2023 | 325.87 Mn |
| Apr 29, 2023 | 328.29 Mn |
| Jan 28, 2023 | 320.41 Mn |
| Oct 29, 2022 | 304.16 Mn |
| Jul 30, 2022 | 427.32 Mn |
| Apr 30, 2022 | 331.86 Mn |
| Jan 29, 2022 | 460.29 Mn |
| Oct 30, 2021 | 407.83 Mn |
Dick'S Sporting Goods EBT 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=ebt&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();