Designer Brands (DBI) Accounts Payables (2011 - 2026)
Designer Brands (DBI) recorded Accounts Payables of $256.08 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.1% from $239.2 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Designer Brands (DBI) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands reported Accounts Payables of $236.2 million, down 13.0% from FY2025.
- Annual Accounts Payables has a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- Across earlier fiscal years, Accounts Payables came in at $271.52 million in FY2025 (-6.2%), $289.37 million in FY2024 (+13.3%), $255.36 million in FY2023 (-25.1%) and $340.88 million in FY2022 (+39.1%).
- The fiscal Q2 2027 figure is the highest quarterly Accounts Payables since fiscal Q1 2026.
- On a year-over-year basis, Accounts Payables rose in two of the last eight quarters, with an average decline of 9.0%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 39.1% in fiscal Q4 2022, against a decline of 25.1% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $236.28 million (Q1 2027), $236.2 million (Q4 2026) and $249.42 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 256.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 256.08 Mn |
| May 2, 2026 | 236.28 Mn |
| Jan 31, 2026 | 236.20 Mn |
| Nov 1, 2025 | 249.42 Mn |
| Aug 2, 2025 | 239.20 Mn |
| May 3, 2025 | 261.79 Mn |
| Feb 1, 2025 | 271.52 Mn |
| Nov 2, 2024 | 238.04 Mn |
| Aug 3, 2024 | 294.74 Mn |
| May 4, 2024 | 298.97 Mn |
| Feb 3, 2024 | 289.37 Mn |
| Oct 28, 2023 | 310.11 Mn |
| Jul 29, 2023 | 294.72 Mn |
| Apr 29, 2023 | 288.53 Mn |
| Jan 28, 2023 | 255.36 Mn |
| Oct 29, 2022 | 316.00 Mn |
| Jul 30, 2022 | 337.54 Mn |
| Apr 30, 2022 | 369.15 Mn |
| Jan 29, 2022 | 340.88 Mn |
| Oct 30, 2021 | 401.28 Mn |
API Access
Designer Brands Accounts Payables 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=accounts-payables&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();