Destination Xl (DXLG) Operating Leases (2019 - 2026)
Destination Xl (DXLG) posted Operating Leases of $170.14 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.5% from $185.94 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Destination Xl (DXLG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Destination Xl's Operating Leases came in at $173.35 million, up 16.6% from FY2025.
- Annual Operating Leases has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- In prior fiscal years, Destination Xl's Operating Leases was $148.7 million in FY2025 (+26.7%), $117.32 million in FY2024 (+9.7%), $106.91 million in FY2023 (-11.2%) and $120.41 million in FY2022 (-11.3%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Operating Leases since fiscal Q1 2026.
- On a year-over-year basis, Operating Leases increased in seven of the last eight quarters, with growth averaging 17.5%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2026, with growth of 31.4%; the weakest was fiscal Q3 2022, with a decline of 25.6%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $176.81 million (Q1 2027), $173.35 million (Q4 2026) and $178.57 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Destination Xl | 24.40 Mn | -67.74 Mn | 53.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 170.14 Mn |
| May 2, 2026 | 176.81 Mn |
| Jan 31, 2026 | 173.35 Mn |
| Nov 1, 2025 | 178.57 Mn |
| Aug 2, 2025 | 185.94 Mn |
| May 3, 2025 | 152.68 Mn |
| Feb 1, 2025 | 148.70 Mn |
| Nov 2, 2024 | 145.77 Mn |
| Aug 3, 2024 | 141.48 Mn |
| May 4, 2024 | 134.58 Mn |
| Feb 3, 2024 | 117.32 Mn |
| Oct 28, 2023 | 119.50 Mn |
| Jul 29, 2023 | 111.91 Mn |
| Apr 29, 2023 | 106.85 Mn |
| Jan 28, 2023 | 106.91 Mn |
| Oct 29, 2022 | 111.00 Mn |
| Jul 30, 2022 | 114.46 Mn |
| Apr 30, 2022 | 118.94 Mn |
| Jan 29, 2022 | 120.41 Mn |
| Oct 30, 2021 | 112.25 Mn |
API Access
Destination Xl Operating Leases 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=operating-leases&ticker=DXLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DXLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();