Destination Xl (DXLG) Cash & Equivalents (2010 - 2026)
Destination Xl (DXLG) reported Cash & Equivalents of $17.02 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 21.5% from $14.02 million a year earlier and up 53.4% from the prior quarter.
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Analysis
Destination Xl (DXLG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Destination Xl posted Cash & Equivalents of $23.81 million, up 100.0% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $11.9 million in FY2025 (-56.9%), $27.59 million in FY2024 (-47.0%), $52.07 million in FY2023 (+235.8%) and $15.51 million in FY2022 (-18.4%).
- Five-year quarterly Cash & Equivalents spans a low of $6.94 million in fiscal Q3 2022 and a high of $52.07 million in fiscal Q4 2023.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 11.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2024 (growth of 297.0%); the low point was fiscal Q3 2022 (a decline of 67.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $11.1 million (Q1 2027), $23.81 million (Q4 2026) and $14.59 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Destination Xl | 23.85 Mn | -68.29 Mn | 53.41 Mn | 17.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 17.02 Mn |
| May 2, 2026 | 11.10 Mn |
| Jan 31, 2026 | 23.81 Mn |
| Nov 1, 2025 | 14.59 Mn |
| Aug 2, 2025 | 14.02 Mn |
| May 3, 2025 | 8.08 Mn |
| Feb 1, 2025 | 11.90 Mn |
| Nov 2, 2024 | 7.11 Mn |
| Aug 3, 2024 | 21.48 Mn |
| May 4, 2024 | 16.33 Mn |
| Feb 3, 2024 | 27.59 Mn |
| Oct 28, 2023 | 10.72 Mn |
| Jul 29, 2023 | 19.25 Mn |
| Apr 29, 2023 | 29.93 Mn |
| Jan 28, 2023 | 52.07 Mn |
| Oct 29, 2022 | 23.49 Mn |
| Jul 30, 2022 | 22.18 Mn |
| Apr 30, 2022 | 7.54 Mn |
| Jan 29, 2022 | 15.51 Mn |
| Oct 30, 2021 | 6.94 Mn |
API Access
Destination Xl Cash & Equivalents 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=cash-and-equivalents&ticker=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();