Designer Brands (DBI) Other Operating Expenses (2016 - 2024)
Designer Brands (DBI) posted Other Operating Expenses of -$1.04 billion for FY2026 (year ended Jan 31, 2026), compared with -$933.85 million in FY2025.
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Analysis
Designer Brands (DBI) Other Operating Expenses (2016 - 2024) Analysis & Trends
Since FY2017, Designer Brands has reported Other Operating Expenses for 6 fiscal years.
- The FY2026 figure stands as the lowest annual Other Operating Expenses since FY2023.
- Business Quant data shows DBI's Other Operating Expenses at -$933.85 million in FY2025, -$929.31 million in FY2024 and -$1.1 billion in FY2023.
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 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 3, 2024 | -263.87 Mn |
| Oct 28, 2023 | 89.33 Mn |
| Jul 29, 2023 | 88.38 Mn |
| Apr 29, 2023 | 86.17 Mn |
| Feb 3, 2018 | -3.82 Mn |
| Oct 28, 2017 | -31.18 Mn |
| Jul 29, 2017 | 1.17 Mn |
| Apr 29, 2017 | 1.08 Mn |
| Jan 28, 2017 | -25.23 Mn |
| Oct 29, 2016 | 1.47 Mn |
| Jul 30, 2016 | 2.17 Mn |
| Apr 30, 2016 | 1.45 Mn |
API Access
Designer Brands Other Operating Expenses 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=other-operating-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();