Designer Brands (DBI) Operating Leases (2019 - 2026)
Designer Brands (DBI) recorded Operating Leases of $613.5 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 5.1% from $646.43 million a year earlier but up 3.4% from the prior quarter.
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Analysis
Designer Brands (DBI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands reported Operating Leases of $596.59 million, down 6.1% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of -2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $635.08 million in FY2025 (-1.7%), $646.16 million in FY2024 (+2.3%), $631.41 million in FY2023 (+6.4%) and $593.43 million in FY2022 (-12.4%).
- Quarterly Operating Leases has ranged from $579.84 million in fiscal Q1 2023 to $682.25 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Operating Leases has declined for nine consecutive quarters, with an average decline of 3.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 16.0% in fiscal Q2 2024, against a decline of 13.8% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $593.16 million (Q1 2027), $596.59 million (Q4 2026) and $628.08 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 613.50 Mn |
| May 2, 2026 | 593.16 Mn |
| Jan 31, 2026 | 596.59 Mn |
| Nov 1, 2025 | 628.08 Mn |
| Aug 2, 2025 | 646.43 Mn |
| May 3, 2025 | 650.44 Mn |
| Feb 1, 2025 | 635.08 Mn |
| Nov 2, 2024 | 644.30 Mn |
| Aug 3, 2024 | 653.42 Mn |
| May 4, 2024 | 657.63 Mn |
| Feb 3, 2024 | 646.16 Mn |
| Oct 28, 2023 | 669.49 Mn |
| Jul 29, 2023 | 682.25 Mn |
| Apr 29, 2023 | 635.25 Mn |
| Jan 28, 2023 | 631.41 Mn |
| Oct 29, 2022 | 628.82 Mn |
| Jul 30, 2022 | 588.06 Mn |
| Apr 30, 2022 | 579.84 Mn |
| Jan 29, 2022 | 593.43 Mn |
| Oct 30, 2021 | 622.27 Mn |
API Access
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "DBI", "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=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();