Destination Xl (DXLG) Return on Sales [ROS] (2010 - 2026)
Destination Xl's Return on Sales [ROS] came in at 1.74% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.13 percentage points from 0.61% a year earlier and up 7.48 percentage points from the prior quarter.
Destination Xl (DXLG) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Destination Xl reported Return on Sales [ROS] of -4.52%, down 2.94 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -4.17%, down 4.97 percentage points from FY2025.
- Return on Sales [ROS] has declined in each of the last four fiscal years, though with a five-year change of +14.80 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 0.80% in FY2025 (-7.24 pp), 8.04% in FY2024 (-2.70 pp), 10.73% in FY2023 (-1.54 pp) and 12.27% in FY2022 (+31.25 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Year-over-year, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -4.41 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2022 (a gain of 20.06 percentage points), and the weakest in fiscal Q2 2025 (a drop of 11.40 percentage points).
- Business Quant data shows DXLG's Return on Sales [ROS] at -5.75% (Q1 2027), -8.60% (Q4 2026) and -5.61% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Destination Xl | 23.85 Mn | -68.29 Mn | 53.41 Mn | 1.74% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.74% |
| May 2, 2026 | -5.75% |
| Jan 31, 2026 | -8.60% |
| Nov 1, 2025 | -5.61% |
| Aug 2, 2025 | 0.61% |
| May 3, 2025 | -3.31% |
| Feb 1, 2025 | -1.45% |
| Nov 2, 2024 | -2.36% |
| Aug 3, 2024 | 2.50% |
| May 4, 2024 | 4.23% |
| Feb 3, 2024 | 5.88% |
| Oct 28, 2023 | 4.41% |
| Jul 29, 2023 | 13.90% |
| Apr 29, 2023 | 7.30% |
| Jan 28, 2023 | 7.21% |
| Oct 29, 2022 | 9.77% |
| Jul 30, 2022 | 15.15% |
| Apr 30, 2022 | 10.68% |
| Jan 29, 2022 | 7.77% |
| Oct 30, 2021 | 13.12% |
Destination Xl 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=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DXLG", "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=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();