Designer Brands (DBI) Payables (2011 - 2026)
Designer Brands (DBI) posted Payables of $256.08 million for 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.
Designer Brands (DBI) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Payables came in at $236.2 million, down 13.0% from FY2025.
- Annual Payables shows a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- In prior fiscal years, Designer Brands' Payables was $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 stands as the highest quarterly Payables since fiscal Q1 2026.
- On a year-over-year basis, Payables increased in two of the last eight quarters, with an average decline of 9.0%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q4 2022, with growth of 39.1%; the weakest was fiscal Q4 2023, with a decline of 25.1%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $236.28 million (Q1 2027), $236.2 million (Q4 2026) and $249.42 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.72 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 256.08 Mn |
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 |
Designer Brands 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=payables&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();