Designer Brands (DBI) Shares Outstanding (Entity) (2010 - 2026)
Designer Brands (DBI) reported Shares Outstanding (Entity) of 43.39 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.8% from 41.81 million a year earlier and up 0.8% from the prior quarter.
Designer Brands (DBI) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Designer Brands posted Shares Outstanding (Entity) of 42.06 million, down 21.6% from FY2025.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -8.2% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Entity) came in at 53.66 million in FY2025 (+8.4%), 49.49 million in FY2024 (-11.5%), 55.92 million in FY2023 (-14.8%) and 65.62 million in FY2022 (+1.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Shares Outstanding (Entity) since fiscal Q4 2025.
- Year over year, Shares Outstanding (Entity) gained in four of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q4 2025 (growth of 8.4%); the low point was fiscal Q4 2026 (a decline of 21.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 43.04 million (Q1 2027), 42.06 million (Q4 2026) and 41.9 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 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 | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 43.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 43.39 Mn |
| May 2, 2026 | 43.04 Mn |
| Jan 31, 2026 | 42.06 Mn |
| Nov 1, 2025 | 41.90 Mn |
| Aug 2, 2025 | 41.81 Mn |
| May 3, 2025 | 41.09 Mn |
| Feb 1, 2025 | 53.66 Mn |
| Nov 2, 2024 | 52.08 Mn |
| Aug 3, 2024 | 47.77 Mn |
| May 4, 2024 | 50.07 Mn |
| Feb 3, 2024 | 49.49 Mn |
| Oct 28, 2023 | 49.12 Mn |
| Jul 29, 2023 | 56.14 Mn |
| Apr 29, 2023 | 58.07 Mn |
| Jan 28, 2023 | 55.92 Mn |
| Oct 29, 2022 | 55.90 Mn |
| Jul 30, 2022 | 56.80 Mn |
| Apr 30, 2022 | 64.45 Mn |
| Jan 29, 2022 | 65.62 Mn |
| Oct 30, 2021 | 65.62 Mn |
Designer Brands Shares Outstanding (Entity) 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-entity&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();