Destination Xl (DXLG) Change in Accured Expenses (2010 - 2026)
Destination Xl (DXLG) recorded Change in Accured Expenses of $968,000 in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 73.5% from $3.65 million a year earlier.
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Analysis
Destination Xl (DXLG) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Destination Xl's Change in Accured Expenses came in at -$1.44 million as of Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was -$1.45 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$7.24 million in FY2025, -$4.56 million in FY2024, $1.85 million in FY2023 (-85.8%) and $13 million in FY2022 (+82.4%).
- Quarterly Change in Accured Expenses has ranged from -$10.03 million in fiscal Q1 2025 to $6.12 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in 1 of the last four quarters, with an average decline of 7.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 185.4% in fiscal Q3 2022, against a decline of 73.5% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$4.71 million (Q1 2027), $2.54 million (Q4 2026) and -$236,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Destination Xl | 23.85 Mn | -68.29 Mn | 53.41 Mn | 968,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 968,000.00 |
| May 2, 2026 | -4.71 Mn |
| Jan 31, 2026 | 2.54 Mn |
| Nov 1, 2025 | -236,000.00 |
| Aug 2, 2025 | 3.65 Mn |
| May 3, 2025 | -7.40 Mn |
| Feb 1, 2025 | 2.59 Mn |
| Nov 2, 2024 | -2.10 Mn |
| Aug 3, 2024 | 2.30 Mn |
| May 4, 2024 | -10.03 Mn |
| Feb 3, 2024 | 2.97 Mn |
| Oct 28, 2023 | 1.28 Mn |
| Jul 29, 2023 | -2.15 Mn |
| Apr 29, 2023 | -6.66 Mn |
| Jan 28, 2023 | 1.74 Mn |
| Oct 29, 2022 | 2.97 Mn |
| Jul 30, 2022 | 2.95 Mn |
| Apr 30, 2022 | -5.80 Mn |
| Jan 29, 2022 | 4.05 Mn |
| Oct 30, 2021 | 6.12 Mn |
API Access
Destination Xl Change in Accured Expenses 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=change-in-accured-expenses&ticker=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();