Dick'S Sporting Goods (DKS) Enterprise Value (2009 - 2026)
Dick'S Sporting Goods (DKS) posted Enterprise Value of $16.49 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.0% from $15.13 billion a year earlier but down 12.7% from the prior quarter.
Dick'S Sporting Goods (DKS) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Enterprise Value at Dick'S Sporting Goods was $13.32 billion, up 21.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $15.44 billion, down 12.4% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of 31.1% (FY2021 to FY2026).
- In prior fiscal years, Dick'S Sporting Goods' Enterprise Value was $17.63 billion in FY2025 (+59.7%), $11.03 billion in FY2024 (+40.0%), $7.88 billion in FY2023 (+16.4%) and $6.77 billion in FY2022 (+69.8%).
- Quarterly Enterprise Value has run from a low of $5.09 billion in fiscal Q1 2023 to a high of $18.89 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Enterprise Value increased in six of the last eight quarters, with growth averaging 28.1%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2022, with growth of 141.9%; the weakest was fiscal Q2 2023, with a decline of 21.1%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $18.89 billion (Q1 2027), $15.44 billion (Q4 2026) and $18.02 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.49 Bn |
| May 2, 2026 | 18.89 Bn |
| Jan 31, 2026 | 15.44 Bn |
| Nov 1, 2025 | 18.02 Bn |
| Aug 2, 2025 | 15.13 Bn |
| May 3, 2025 | 14.34 Bn |
| Feb 1, 2025 | 17.63 Bn |
| Nov 2, 2024 | 14.12 Bn |
| Aug 3, 2024 | 14.31 Bn |
| May 4, 2024 | 14.69 Bn |
| Feb 3, 2024 | 11.03 Bn |
| Oct 28, 2023 | 6.85 Bn |
| Jul 29, 2023 | 9.48 Bn |
| Apr 29, 2023 | 10.40 Bn |
| Jan 28, 2023 | 7.88 Bn |
| Oct 29, 2022 | 7.60 Bn |
| Jul 30, 2022 | 5.18 Bn |
| Apr 30, 2022 | 5.09 Bn |
| Jan 29, 2022 | 6.77 Bn |
| Oct 30, 2021 | 9.00 Bn |
Dick'S Sporting Goods Enterprise Value 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=enterprise-value&ticker=DKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();