Designer Brands (DBI) Shares Outstanding (2010 - 2026)
Designer Brands (DBI) reported Shares Outstanding of 50.89 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.6% from 49.11 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Designer Brands (DBI) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Designer Brands posted Shares Outstanding of 49.14 million, down 8.4% from FY2025.
- Shares Outstanding has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 53.66 million in FY2025 (-12.5%), 61.3 million in FY2024 (-9.3%), 67.6 million in FY2023 (-7.4%) and 73.02 million in FY2022 (+1.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Shares Outstanding since fiscal Q4 2025.
- Year over year, Shares Outstanding gained in two of the last eight quarters, with an average decline of 7.4%.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q1 2027 (growth of 4.1%); the low point was fiscal Q1 2026 (a decline of 16.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 50.24 million (Q1 2027), 49.14 million (Q4 2026) and 49.56 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 50.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 50.89 Mn |
| May 2, 2026 | 50.24 Mn |
| Jan 31, 2026 | 49.14 Mn |
| Nov 1, 2025 | 49.56 Mn |
| Aug 2, 2025 | 49.11 Mn |
| May 3, 2025 | 48.24 Mn |
| Feb 1, 2025 | 53.66 Mn |
| Nov 2, 2024 | 52.08 Mn |
| Aug 3, 2024 | 57.16 Mn |
| May 4, 2024 | 57.46 Mn |
| Feb 3, 2024 | 61.30 Mn |
| Oct 28, 2023 | 58.63 Mn |
| Jul 29, 2023 | 65.58 Mn |
| Apr 29, 2023 | 64.37 Mn |
| Jan 28, 2023 | 67.60 Mn |
| Oct 29, 2022 | 64.25 Mn |
| Jul 30, 2022 | 69.60 Mn |
| Apr 30, 2022 | 72.92 Mn |
| Jan 29, 2022 | 73.02 Mn |
| Oct 30, 2021 | 73.19 Mn |
API Access
Designer Brands Shares Outstanding 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=shares-outstanding&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();