Dick'S Sporting Goods (DKS) EBITDA (2009 - 2026)
Dick'S Sporting Goods (DKS) recorded EBITDA of $600.3 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.6% from $557.85 million a year earlier but down 0.7% from the prior quarter.
Dick'S Sporting Goods (DKS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Dick'S Sporting Goods' EBITDA came in at $1.77 billion as of Aug 1, 2026, down 7.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.58 billion, down 15.5% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $1.87 billion in FY2025 (+11.8%), $1.68 billion in FY2024 (-8.3%), $1.83 billion in FY2023 (-22.4%) and $2.36 billion in FY2022 (+120.8%).
- Quarterly EBITDA has ranged from $221.12 million in fiscal Q3 2026 to $604.46 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with an average decline of 3.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 54.6% in fiscal Q3 2022, against a decline of 42.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $604.46 million (Q1 2027), $341.6 million (Q4 2026) and $221.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 601.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 601.82 Mn |
| May 2, 2026 | 605.97 Mn |
| Jan 31, 2026 | 343.09 Mn |
| Nov 1, 2025 | 225.56 Mn |
| Aug 2, 2025 | 563.03 Mn |
| May 3, 2025 | 464.57 Mn |
| Feb 1, 2025 | 497.63 Mn |
| Nov 2, 2024 | 387.77 Mn |
| Aug 3, 2024 | 568.42 Mn |
| May 4, 2024 | 422.86 Mn |
| Feb 3, 2024 | 495.18 Mn |
| Oct 28, 2023 | 375.99 Mn |
| Jul 29, 2023 | 398.88 Mn |
| Apr 29, 2023 | 408.61 Mn |
| Jan 28, 2023 | 426.50 Mn |
| Oct 29, 2022 | 412.67 Mn |
| Jul 30, 2022 | 546.00 Mn |
| Apr 30, 2022 | 447.57 Mn |
| Jan 29, 2022 | 568.26 Mn |
| Oct 30, 2021 | 507.26 Mn |
Dick'S Sporting Goods EBITDA 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=ebitda&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();