Destination Xl (DXLG) EBITDA (2010 - 2026)
Destination Xl's EBITDA came in at $5.91 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 29.1% from $4.58 million a year earlier.
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Analysis
Destination Xl (DXLG) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Destination Xl reported EBITDA of -$3.61 million; for FY2026 (ended Jan 31, 2026), it came in at -$2.83 million.
- Going back by fiscal year, EBITDA was $17.61 million in FY2025 (-68.4%), $55.78 million in FY2024 (-24.6%), $73.97 million in FY2023 (-6.6%) and $79.21 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA since fiscal Q2 2025.
- Year-over-year, EBITDA increased in 1 of the last five quarters, with an average decline of 54.1%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2027 (growth of 29.1%), and the weakest in fiscal Q1 2026 (a decline of 98.3%).
- Business Quant data shows DXLG's EBITDA at -$1.97 million (Q1 2027), -$5.59 million (Q4 2026) and -$1.96 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn | 5.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.91 Mn |
| May 2, 2026 | -1.97 Mn |
| Jan 31, 2026 | -5.59 Mn |
| Nov 1, 2025 | -1.96 Mn |
| Aug 2, 2025 | 4.58 Mn |
| May 3, 2025 | 139,000.00 |
| Feb 1, 2025 | 1.91 Mn |
| Nov 2, 2024 | 1.03 Mn |
| Aug 3, 2024 | 6.51 Mn |
| May 4, 2024 | 8.16 Mn |
| Feb 3, 2024 | 11.56 Mn |
| Oct 28, 2023 | 8.65 Mn |
| Jul 29, 2023 | 22.93 Mn |
| Apr 29, 2023 | 12.64 Mn |
| Jan 28, 2023 | 14.01 Mn |
| Oct 29, 2022 | 16.43 Mn |
| Jul 30, 2022 | 25.90 Mn |
| Apr 30, 2022 | 17.62 Mn |
| Jan 29, 2022 | 14.57 Mn |
| Oct 30, 2021 | 20.08 Mn |
API Access
Destination Xl EBITDA 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=ebitda&ticker=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();