Dick'S Sporting Goods (DKS) Return on Sales [ROS] (2009 - 2026)
Dick'S Sporting Goods' Return on Sales [ROS] was 7.89% in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.51 percentage points from 12.40% a year earlier and down 0.84 percentage points from the prior quarter.
Dick'S Sporting Goods (DKS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dick'S Sporting Goods' Return on Sales [ROS] was 5.53% through Aug 1, 2026, down 5.30 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 6.37%, down 4.60 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -1.37 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 10.96% in FY2025 (+1.09 pp), 9.88% in FY2024 (-1.95 pp), 11.83% in FY2023 (-4.72 pp) and 16.55% in FY2022 (+8.81 pp).
- Quarterly Return on Sales [ROS] has moved between 2.23% (fiscal Q3 2026) and 15.28% (fiscal Q3 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for five straight quarters, with an average year-over-year change of -2.66 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2022 (a gain of 5.08 percentage points); the worst was fiscal Q3 2026 (a drop of 7.12 percentage points).
- Per Business Quant data, DKS's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 8.73% (Q1 2027), 2.96% (Q4 2026) and 2.23% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 9.22% |
| 10 | Dick'S Sporting Goods | 12.81 Bn | 8.72 Bn | 1.94 Bn | 7.89% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.89% |
| May 2, 2026 | 8.73% |
| Jan 31, 2026 | 2.96% |
| Nov 1, 2025 | 2.23% |
| Aug 2, 2025 | 12.40% |
| May 3, 2025 | 11.53% |
| Feb 1, 2025 | 9.94% |
| Nov 2, 2024 | 9.36% |
| Aug 3, 2024 | 13.53% |
| May 4, 2024 | 10.96% |
| Feb 3, 2024 | 9.60% |
| Oct 28, 2023 | 8.97% |
| Jul 29, 2023 | 9.67% |
| Apr 29, 2023 | 11.46% |
| Jan 28, 2023 | 8.64% |
| Oct 29, 2022 | 11.00% |
| Jul 30, 2022 | 14.79% |
| Apr 30, 2022 | 13.57% |
| Jan 29, 2022 | 14.18% |
| Oct 30, 2021 | 15.28% |
Dick'S Sporting Goods Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();