Dick'S Sporting Goods (DKS) Operating Income (2009 - 2026)
Dick'S Sporting Goods (DKS) recorded Operating Income of $440.76 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.5% from $452.19 million a year earlier and down 2.2% from the prior quarter.
Dick'S Sporting Goods (DKS) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Dick'S Sporting Goods' Operating Income came in at $1.17 billion as of Aug 1, 2026, down 21.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.1 billion, down 25.6% from FY2025.
- Annual Operating Income has a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Income came in at $1.47 billion in FY2025 (+14.9%), $1.28 billion in FY2024 (-12.3%), $1.46 billion in FY2023 (-28.1%) and $2.03 billion in FY2022 (+174.4%).
- Quarterly Operating Income has ranged from $93.1 million in fiscal Q3 2026 to $475.27 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Income rose in four of the last eight quarters, with an average decline of 10.4%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 70.6% in fiscal Q3 2022, against a decline of 67.5% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $450.65 million (Q1 2027), $184.51 million (Q4 2026) and $93.1 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 440.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 440.76 Mn |
| May 2, 2026 | 450.65 Mn |
| Jan 31, 2026 | 184.51 Mn |
| Nov 1, 2025 | 93.10 Mn |
| Aug 2, 2025 | 452.19 Mn |
| May 3, 2025 | 366.12 Mn |
| Feb 1, 2025 | 386.99 Mn |
| Nov 2, 2024 | 286.04 Mn |
| Aug 3, 2024 | 470.10 Mn |
| May 4, 2024 | 330.80 Mn |
| Feb 3, 2024 | 372.04 Mn |
| Oct 28, 2023 | 272.94 Mn |
| Jul 29, 2023 | 311.76 Mn |
| Apr 29, 2023 | 325.62 Mn |
| Jan 28, 2023 | 310.86 Mn |
| Oct 29, 2022 | 325.46 Mn |
| Jul 30, 2022 | 460.18 Mn |
| Apr 30, 2022 | 366.52 Mn |
| Jan 29, 2022 | 475.27 Mn |
| Oct 30, 2021 | 419.87 Mn |
Dick'S Sporting Goods Operating Income 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-income&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();