Designer Brands (DBI) Inventory (2011 - 2026)
Designer Brands (DBI) recorded Inventory of $594.69 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.6% from $610.88 million a year earlier but up 1.4% from the prior quarter.
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Analysis
Designer Brands (DBI) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands reported Inventory of $563.55 million, down 6.0% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $599.75 million in FY2025 (+5.0%), $571.33 million in FY2024 (-5.7%), $605.65 million in FY2023 (+3.3%) and $586.43 million in FY2022 (+23.9%).
- Quarterly Inventory has ranged from $563.55 million in fiscal Q4 2026 to $694.01 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Inventory has declined for five consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 37.6% in fiscal Q2 2023, against a decline of 12.6% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $586.64 million (Q1 2027), $563.55 million (Q4 2026) and $620.01 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Designer Brands | 272.49 Mn | 68.58 Mn | 365.36 Mn | 594.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 594.69 Mn |
| May 2, 2026 | 586.64 Mn |
| Jan 31, 2026 | 563.55 Mn |
| Nov 1, 2025 | 620.01 Mn |
| Aug 2, 2025 | 610.88 Mn |
| May 3, 2025 | 623.58 Mn |
| Feb 1, 2025 | 599.75 Mn |
| Nov 2, 2024 | 637.01 Mn |
| Aug 3, 2024 | 642.78 Mn |
| May 4, 2024 | 620.49 Mn |
| Feb 3, 2024 | 571.33 Mn |
| Oct 28, 2023 | 601.47 Mn |
| Jul 29, 2023 | 606.84 Mn |
| Apr 29, 2023 | 637.40 Mn |
| Jan 28, 2023 | 605.65 Mn |
| Oct 29, 2022 | 681.84 Mn |
| Jul 30, 2022 | 694.01 Mn |
| Apr 30, 2022 | 672.49 Mn |
| Jan 29, 2022 | 586.43 Mn |
| Oct 30, 2021 | 602.10 Mn |
API Access
Designer Brands Inventory 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=inventory&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();