Dick'S Sporting Goods (DKS) Operating Expenses (2009 - 2026)
Dick'S Sporting Goods' Operating Expenses was $1.48 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 66.8% from $886.77 million a year earlier and up 21.5% from the prior quarter.
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Analysis
Dick'S Sporting Goods (DKS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dick'S Sporting Goods' Operating Expenses was $5.53 billion through Aug 1, 2026, up 61.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $4.5 billion, up 36.7% from FY2025.
- Operating Expenses has now increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 14.4% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $3.29 billion in FY2025 (+3.5%), $3.18 billion in FY2024 (+13.7%), $2.8 billion in FY2023 (+5.1%) and $2.66 billion in FY2022 (+15.9%).
- Quarterly Operating Expenses has moved between $615.29 million (fiscal Q1 2023) and $1.57 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 25 straight quarters, with growth averaging 33.1% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.7% (fiscal Q4 2025) and 66.8% (fiscal Q2 2027) over the last five years.
- Per Business Quant data, DKS's Operating Expenses in the three fiscal quarters before Q2 2027 was $1.22 billion (Q1 2027), $1.57 billion (Q4 2026) and $1.26 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.48 Bn |
| May 2, 2026 | 1.22 Bn |
| Jan 31, 2026 | 1.57 Bn |
| Nov 1, 2025 | 1.26 Bn |
| Aug 2, 2025 | 886.77 Mn |
| May 3, 2025 | 785.53 Mn |
| Feb 1, 2025 | 963.58 Mn |
| Nov 2, 2024 | 790.62 Mn |
| Aug 3, 2024 | 796.67 Mn |
| May 4, 2024 | 743.40 Mn |
| Feb 3, 2024 | 956.71 Mn |
| Oct 28, 2023 | 768.19 Mn |
| Jul 29, 2023 | 764.79 Mn |
| Apr 29, 2023 | 693.85 Mn |
| Jan 28, 2023 | 847.45 Mn |
| Oct 29, 2022 | 679.75 Mn |
| Jul 30, 2022 | 657.37 Mn |
| Apr 30, 2022 | 615.29 Mn |
| Jan 29, 2022 | 783.58 Mn |
| Oct 30, 2021 | 631.94 Mn |
API Access
Dick'S Sporting Goods Operating 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=operating-expenses&ticker=DKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();