Designer Brands (DBI) Accumulated Expenses (2012 - 2026)
Designer Brands' Accumulated Expenses came in at $192.21 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.3% from $177.49 million a year earlier but down 5.0% from the prior quarter.
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Analysis
Designer Brands (DBI) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Accumulated Expenses was $178.43 million, up 17.3% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $152.15 million in FY2025 (-4.7%), $159.62 million in FY2024 (-16.3%), $190.68 million in FY2023 (-11.6%) and $215.81 million in FY2022 (+7.7%).
- The five-year range for quarterly Accumulated Expenses is $152.15 million (fiscal Q4 2025) to $215.81 million (fiscal Q4 2022).
- Year-over-year, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 23.2%), and the weakest in fiscal Q2 2024 (a decline of 18.2%).
- Business Quant data shows DBI's Accumulated Expenses at $202.4 million (Q1 2027), $178.43 million (Q4 2026) and $180.58 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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 |
|---|---|
| Aug 1, 2026 | 192.21 Mn |
| May 2, 2026 | 202.40 Mn |
| Jan 31, 2026 | 178.43 Mn |
| Nov 1, 2025 | 180.58 Mn |
| Aug 2, 2025 | 177.49 Mn |
| May 3, 2025 | 187.81 Mn |
| Feb 1, 2025 | 152.15 Mn |
| Nov 2, 2024 | 167.60 Mn |
| Aug 3, 2024 | 161.16 Mn |
| May 4, 2024 | 182.77 Mn |
| Feb 3, 2024 | 159.62 Mn |
| Oct 28, 2023 | 183.38 Mn |
| Jul 29, 2023 | 172.13 Mn |
| Apr 29, 2023 | 170.76 Mn |
| Jan 28, 2023 | 190.68 Mn |
| Oct 29, 2022 | 213.91 Mn |
| Jul 30, 2022 | 210.47 Mn |
| Apr 30, 2022 | 208.28 Mn |
| Jan 29, 2022 | 215.81 Mn |
| Oct 30, 2021 | 211.02 Mn |
API Access
Designer Brands Accumulated 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=accumulated-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();