Designer Brands (DBI) Change in Accured Expenses (2011 - 2026)
Designer Brands' Change in Accured Expenses came in at -$16.96 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$10.39 million a year earlier.
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Analysis
Designer Brands (DBI) Change in Accured Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Designer Brands reported Change in Accured Expenses of $4.83 million, down 41.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $14.01 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -14.2% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was -$15.25 million in FY2025, -$29.88 million in FY2024, -$20.1 million in FY2023 and $10.74 million in FY2022 (-64.4%).
- The fiscal Q2 2027 figure represents the lowest quarterly Change in Accured Expenses since fiscal Q2 2025.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q3 2024 (growth of 165.2%), and the weakest in fiscal Q4 2022 (a decline of 97.9%).
- Business Quant data shows DBI's Change in Accured Expenses at $24.1 million (Q1 2027), -$11.93 million (Q4 2026) and $9.63 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | -16.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -16.96 Mn |
| May 2, 2026 | 24.10 Mn |
| Jan 31, 2026 | -11.93 Mn |
| Nov 1, 2025 | 9.63 Mn |
| Aug 2, 2025 | -10.39 Mn |
| May 3, 2025 | 26.70 Mn |
| Feb 1, 2025 | -14.46 Mn |
| Nov 2, 2024 | 6.46 Mn |
| Aug 3, 2024 | -29.30 Mn |
| May 4, 2024 | 22.05 Mn |
| Feb 3, 2024 | -22.96 Mn |
| Oct 28, 2023 | 11.21 Mn |
| Jul 29, 2023 | 1.11 Mn |
| Apr 29, 2023 | -19.25 Mn |
| Jan 28, 2023 | -18.88 Mn |
| Oct 29, 2022 | 4.23 Mn |
| Jul 30, 2022 | 5.96 Mn |
| Apr 30, 2022 | -11.41 Mn |
| Jan 29, 2022 | 531,000.00 |
| Oct 30, 2021 | -11.34 Mn |
API Access
Designer Brands Change in Accured 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=change-in-accured-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();