Destination Xl (DXLG) Inventory (2011 - 2026)
Destination Xl (DXLG) posted Inventory of $75.51 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.3% from $78.89 million a year earlier and down 7.2% from the prior quarter.
Destination Xl (DXLG) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Destination Xl's Inventory came in at $73.52 million, down 2.6% from FY2025.
- Annual Inventory has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In prior fiscal years, Destination Xl's Inventory was $75.49 million in FY2025 (-6.8%), $80.97 million in FY2024 (-12.9%), $93 million in FY2023 (+13.7%) and $81.76 million in FY2022 (-3.8%).
- Quarterly Inventory has run from a low of $73.52 million in fiscal Q4 2026 to a high of $106.82 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Inventory has declined in each of the last four quarters, with an average decline of 5.0% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2023, with growth of 31.8%; the weakest was fiscal Q3 2022, with a decline of 13.3%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $81.39 million (Q1 2027), $73.52 million (Q4 2026) and $85.04 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn | 75.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 75.51 Mn |
| May 2, 2026 | 81.39 Mn |
| Jan 31, 2026 | 73.52 Mn |
| Nov 1, 2025 | 85.04 Mn |
| Aug 2, 2025 | 78.89 Mn |
| May 3, 2025 | 85.46 Mn |
| Feb 1, 2025 | 75.49 Mn |
| Nov 2, 2024 | 89.14 Mn |
| Aug 3, 2024 | 78.61 Mn |
| May 4, 2024 | 91.24 Mn |
| Feb 3, 2024 | 80.97 Mn |
| Oct 28, 2023 | 99.86 Mn |
| Jul 29, 2023 | 87.53 Mn |
| Apr 29, 2023 | 100.26 Mn |
| Jan 28, 2023 | 93.00 Mn |
| Oct 29, 2022 | 106.82 Mn |
| Jul 30, 2022 | 96.73 Mn |
| Apr 30, 2022 | 96.87 Mn |
| Jan 29, 2022 | 81.76 Mn |
| Oct 30, 2021 | 82.28 Mn |
Destination Xl Inventory 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=inventory&ticker=DXLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();