Destination Xl (DXLG) Total Current Liabilities (2011 - 2026)
Destination Xl (DXLG) posted Total Current Liabilities of $80.95 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.8% from $81.62 million a year earlier and down 6.5% from the prior quarter.
Destination Xl (DXLG) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Destination Xl's Total Current Liabilities came in at $85.45 million, down 5.8% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -11.2% (FY2021 to FY2026).
- In prior fiscal years, Destination Xl's Total Current Liabilities was $90.7 million in FY2025 (+0.9%), $89.88 million in FY2024 (-11.7%), $101.75 million in FY2023 (+6.6%) and $95.46 million in FY2022 (-38.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Total Current Liabilities since fiscal Q4 2014.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q2 2023, with growth of 11.9%; the weakest was fiscal Q3 2022, with a decline of 39.6%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $86.57 million (Q1 2027), $85.45 million (Q4 2026) and $85.26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 10.04 Bn |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn | 80.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 80.95 Mn |
| May 2, 2026 | 86.57 Mn |
| Jan 31, 2026 | 85.45 Mn |
| Nov 1, 2025 | 85.26 Mn |
| Aug 2, 2025 | 81.62 Mn |
| May 3, 2025 | 86.23 Mn |
| Feb 1, 2025 | 90.70 Mn |
| Nov 2, 2024 | 89.57 Mn |
| Aug 3, 2024 | 83.24 Mn |
| May 4, 2024 | 86.95 Mn |
| Feb 3, 2024 | 89.88 Mn |
| Oct 28, 2023 | 101.04 Mn |
| Jul 29, 2023 | 86.13 Mn |
| Apr 29, 2023 | 90.02 Mn |
| Jan 28, 2023 | 101.75 Mn |
| Oct 29, 2022 | 97.51 Mn |
| Jul 30, 2022 | 94.66 Mn |
| Apr 30, 2022 | 94.36 Mn |
| Jan 29, 2022 | 95.46 Mn |
| Oct 30, 2021 | 99.67 Mn |
Destination Xl Total Current Liabilities 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=total-current-liabilities&ticker=DXLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();