Designer Brands (DBI) Total Liabilities (2011 - 2026)
Designer Brands' Total Liabilities came in at $1.71 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.5% from $1.79 billion a year earlier and down 0.6% from the prior quarter.
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Analysis
Designer Brands (DBI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Total Liabilities was $1.67 billion, down 3.7% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.73 billion in FY2025 (+1.0%), $1.72 billion in FY2024 (+8.9%), $1.58 billion in FY2023 (-1.6%) and $1.6 billion in FY2022 (-7.6%).
- The five-year range for quarterly Total Liabilities is $1.58 billion (fiscal Q4 2023) to $1.83 billion (fiscal Q1 2026).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 8.9%), and the weakest in fiscal Q3 2022 (a decline of 8.4%).
- Business Quant data shows DBI's Total Liabilities at $1.72 billion (Q1 2027), $1.67 billion (Q4 2026) and $1.75 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 1.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.71 Bn |
| May 2, 2026 | 1.72 Bn |
| Jan 31, 2026 | 1.67 Bn |
| Nov 1, 2025 | 1.75 Bn |
| Aug 2, 2025 | 1.79 Bn |
| May 3, 2025 | 1.83 Bn |
| Feb 1, 2025 | 1.73 Bn |
| Nov 2, 2024 | 1.76 Bn |
| Aug 3, 2024 | 1.75 Bn |
| May 4, 2024 | 1.81 Bn |
| Feb 3, 2024 | 1.72 Bn |
| Oct 28, 2023 | 1.74 Bn |
| Jul 29, 2023 | 1.69 Bn |
| Apr 29, 2023 | 1.69 Bn |
| Jan 28, 2023 | 1.58 Bn |
| Oct 29, 2022 | 1.79 Bn |
| Jul 30, 2022 | 1.74 Bn |
| Apr 30, 2022 | 1.67 Bn |
| Jan 29, 2022 | 1.60 Bn |
| Oct 30, 2021 | 1.70 Bn |
API Access
Designer Brands Total 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-liabilities&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();