Dick'S Sporting Goods (DKS) Revenue (2009 - 2026)
Dick'S Sporting Goods (DKS) posted Revenue of $5.59 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 53.2% from $3.65 billion a year earlier and up 8.2% from the prior quarter.
Dick'S Sporting Goods (DKS) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Revenue at Dick'S Sporting Goods was $21.15 billion, up 53.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $17.22 billion, up 28.1% from FY2025.
- Annual Revenue has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- In prior fiscal years, Dick'S Sporting Goods' Revenue was $13.44 billion in FY2025 (+3.5%), $12.98 billion in FY2024 (+5.0%), $12.37 billion in FY2023 (+0.6%) and $12.29 billion in FY2022 (+28.3%).
- Quarterly Revenue has run from a low of $2.7 billion in fiscal Q1 2023 to a high of $6.23 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last 16 quarters, with growth averaging 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q1 2027, with growth of 62.7%; the weakest was fiscal Q1 2023, with a decline of 7.5%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $5.16 billion (Q1 2027), $6.23 billion (Q4 2026) and $4.17 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 6.26 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 4.89 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 26.54 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 4.84 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 7.38 Bn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 5.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.59 Bn |
| May 2, 2026 | 5.16 Bn |
| Jan 31, 2026 | 6.23 Bn |
| Nov 1, 2025 | 4.17 Bn |
| Aug 2, 2025 | 3.65 Bn |
| May 3, 2025 | 3.17 Bn |
| Feb 1, 2025 | 3.89 Bn |
| Nov 2, 2024 | 3.06 Bn |
| Aug 3, 2024 | 3.47 Bn |
| May 4, 2024 | 3.02 Bn |
| Feb 3, 2024 | 3.88 Bn |
| Oct 28, 2023 | 3.04 Bn |
| Jul 29, 2023 | 3.22 Bn |
| Apr 29, 2023 | 2.84 Bn |
| Jan 28, 2023 | 3.60 Bn |
| Oct 29, 2022 | 2.96 Bn |
| Jul 30, 2022 | 3.11 Bn |
| Apr 30, 2022 | 2.70 Bn |
| Jan 29, 2022 | 3.35 Bn |
| Oct 30, 2021 | 2.75 Bn |
Dick'S Sporting Goods Revenue 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=revenue&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();