Dick'S Sporting Goods (DKS) Accumulated Expenses (2010 - 2026)
Dick'S Sporting Goods' Accumulated Expenses was $1.17 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 75.5% from $666.45 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Dick'S Sporting Goods (DKS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Dick'S Sporting Goods came in at $1.12 billion, up 70.7% from FY2025.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 16.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $653.32 million in FY2025 (+18.5%), $551.37 million in FY2024 (+8.4%), $508.57 million in FY2023 (-18.0%) and $620.14 million in FY2022 (+19.7%).
- The fiscal Q2 2027 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Compared with a year earlier, Accumulated Expenses has increased for 14 straight quarters, with growth averaging 42.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2027 (growth of 82.1%); the worst was fiscal Q4 2023 (a decline of 18.0%).
- Per Business Quant data, DKS's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $1.15 billion (Q1 2027), $1.12 billion (Q4 2026) and $1.08 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | Dick'S Sporting Goods | 13.18 Bn | 9.10 Bn | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.17 Bn |
| May 2, 2026 | 1.15 Bn |
| Jan 31, 2026 | 1.12 Bn |
| Nov 1, 2025 | 1.08 Bn |
| Aug 2, 2025 | 666.45 Mn |
| May 3, 2025 | 629.48 Mn |
| Feb 1, 2025 | 653.32 Mn |
| Nov 2, 2024 | 665.68 Mn |
| Aug 3, 2024 | 604.37 Mn |
| May 4, 2024 | 616.95 Mn |
| Feb 3, 2024 | 551.37 Mn |
| Oct 28, 2023 | 550.01 Mn |
| Jul 29, 2023 | 597.74 Mn |
| Apr 29, 2023 | 495.74 Mn |
| Jan 28, 2023 | 508.57 Mn |
| Oct 29, 2022 | 500.25 Mn |
| Jul 30, 2022 | 503.76 Mn |
| Apr 30, 2022 | 462.09 Mn |
| Jan 29, 2022 | 620.14 Mn |
| Oct 30, 2021 | 522.01 Mn |
API Access
Dick'S Sporting Goods Accumulated Expenses 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=accumulated-expenses&ticker=DKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();